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http://rosettacode.org/wiki/Sorting_algorithms/Selection_sort | Sorting algorithms/Selection sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of elements using the Selection sort algorithm.
It works as follows:
First find the smallest element in the array and exchange it with the element in the first position, then find the second smallest element and exchange it with the element in the second position, and continue in this way until the entire array is sorted.
Its asymptotic complexity is O(n2) making it inefficient on large arrays.
Its primary purpose is for when writing data is very expensive (slow) when compared to reading, eg. writing to flash memory or EEPROM.
No other sorting algorithm has less data movement.
References
Rosetta Code: O (complexity).
Wikipedia: Selection sort.
Wikipedia: [Big O notation].
| #Euphoria | Euphoria | function selection_sort(sequence s)
object tmp
integer m
for i = 1 to length(s) do
m = i
for j = i+1 to length(s) do
if compare(s[j],s[m]) < 0 then
m = j
end if
end for
tmp = s[i]
s[i] = s[m]
s[m] = tmp
end for
return s
end function
include misc.e
constant s = {4, 15, "delta", 2, -31, 0, "alfa", 19, "gamma", 2, 13, "beta", 782, 1}
puts(1,"Before: ")
pretty_print(1,s,{2})
puts(1,"\nAfter: ")
pretty_print(1,selection_sort(s),{2}) |
http://rosettacode.org/wiki/Soundex | Soundex | Soundex is an algorithm for creating indices for words based on their pronunciation.
Task
The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling (from the soundex Wikipedia article).
Caution
There is a major issue in many of the implementations concerning the separation of two consonants that have the same soundex code! According to the official Rules [[1]]. So check for instance if Ashcraft is coded to A-261.
If a vowel (A, E, I, O, U) separates two consonants that have the same soundex code, the consonant to the right of the vowel is coded. Tymczak is coded as T-522 (T, 5 for the M, 2 for the C, Z ignored (see "Side-by-Side" rule above), 2 for the K). Since the vowel "A" separates the Z and K, the K is coded.
If "H" or "W" separate two consonants that have the same soundex code, the consonant to the right of the vowel is not coded. Example: Ashcraft is coded A-261 (A, 2 for the S, C ignored, 6 for the R, 1 for the F). It is not coded A-226.
| #FutureBasic | FutureBasic | include "NSLog.incl"
local fn SoundexCode( charCode as unsigned char ) as unsigned char
select charCode
case _"B", _"F", _"P", _"V"
charCode = _"1"
case _"C", _"G", _"J", _"K", _"Q", _"S", _"X", _"Z"
charCode = _"2"
case _"D", _"T"
charCode = _"3"
case _"L"
charCode = _"4"
case _"M", _"N"
charCode = _"5"
case _"R"
charCode = _"6"
case else
charCode = 0
end select
end fn = charCode
local fn SoundexCodeForWord( codeWord as CFStringRef ) as CFStringRef
NSUInteger i
unsigned char charCode, lastCode
CFStringRef outputStr = @"0000"
CFMutableStringRef tempStr
if ( len(codeWord) == 0 ) then exit fn
tempStr = fn MutableStringWithCapacity(0)
codeWord = ucase(fn StringByApplyingTransform( codeWord, NSStringTransformStripDiacritics, NO ))
MutableStringAppendString( tempStr, left(codeWord,1) )
charCode = fn StringCharacterAtIndex( codeWord, 0 )
charCode = fn SoundexCode( charCode )
lastCode = charCode
i = 0
while i < len(codeWord) - 1
i++
charCode = fn StringCharacterAtIndex( codeWord, i )
charCode = fn SoundexCode( charCode )
if ( charCode > 0 and lastCode != charCode )
MutableStringAppendString( tempStr, fn StringWithFormat( @"%c",charCode ) )
if ( len(tempStr) == 4 ) then break
end if
lastCode = charCode
wend
while ( len(tempStr) < 4 )
MutableStringAppendString( tempStr, @"0" )
wend
outputStr = fn StringWithString( tempStr )
end fn = outputStr
CFArrayRef names
CFStringRef name
names = @[
@"Smith",@"Johnson",@"Williams",@"Jones",@"Brown",@"Davis",@"Miller",@"Wilson",@"Moore",@"Taylor",
@"Anderson",@"Thomas",@"Jackson",@"White",@"Harris",@"Martin",@"Thompson",@"Garcia",@"Martinez",@"Robinson",
@"Clark",@"Rodriguez",@"Lewis",@"Lee",@"Walker",@"Hall",@"Allen",@"Young",@"Hernandez",@"King",
@"Wright",@"Lopez",@"Hill",@"Scott",@"Green",@"Adams",@"Baker",@"Gonzalez",@"Nelson",@"Carter",
@"Mitchell",@"Perez",@"Roberts",@"Turner",@"Phillips",@"Campbell",@"Parker",@"Evans",@"Edwards",@"Collins",
@"Stewart",@"Sanchez",@"Morris",@"Rogers",@"Reed",@"Cook",@"Morgan",@"Bell",@"Murphy",@"Bailey",
@"Rivera",@"Cooper",@"Richardson",@"Cox",@"Howard",@"Ward",@"Torres",@"Peterson",@"Gray",@"Ramirez",
@"James",@"Watson",@"Brooks",@"Kelly",@"Sanders",@"Price",@"Bennett",@"Wood",@"Barnes",@"Ross",
@"Henderson",@"Coleman",@"Jenkins",@"Perry",@"Powell",@"Long",@"Patterson",@"Hughes",@"Flores",@"Washington",
@"Butler",@"Simmons",@"Foster",@"Gonzales",@"Bryant",@"Alexander",@"Russell",@"Griffin",@"Diaz",@"Hayes"
]
NSLogSetTabInterval( 80 )
NSLog( @"Soundex codes for %ld popular American surnames:",fn ArrayCount(names) )
for name in names
NSLog( @"%@\t= %@",name,fn SoundexCodeForWord(name) )
next
NSLog(@"")
NSLog( @"Soundex codes for similar sounding names:" )
NSLog( @"Stuart\t= %@" , fn SoundexCodeForWord( @"Stuart" ) )
NSLog( @"Stewart\t= %@", fn SoundexCodeForWord( @"Stewart" ) )
NSLog( @"Steward\t= %@", fn SoundexCodeForWord( @"Steward" ) )
NSLog( @"Seward\t= %@" , fn SoundexCodeForWord( @"Seward" ) )
HandleEvents |
http://rosettacode.org/wiki/Sorting_algorithms/Shell_sort | Sorting algorithms/Shell sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of elements using the Shell sort algorithm, a diminishing increment sort.
The Shell sort (also known as Shellsort or Shell's method) is named after its inventor, Donald Shell, who published the algorithm in 1959.
Shell sort is a sequence of interleaved insertion sorts based on an increment sequence.
The increment size is reduced after each pass until the increment size is 1.
With an increment size of 1, the sort is a basic insertion sort, but by this time the data is guaranteed to be almost sorted, which is insertion sort's "best case".
Any sequence will sort the data as long as it ends in 1, but some work better than others.
Empirical studies have shown a geometric increment sequence with a ratio of about 2.2 work well in practice.
[1]
Other good sequences are found at the On-Line Encyclopedia of Integer Sequences.
| #Lisaac | Lisaac | Section Header
+ name := SHELL_SORT;
- external := `#include <time.h>`;
Section Public
- main <- (
+ a : ARRAY[INTEGER];
a := ARRAY[INTEGER].create 0 to 100;
`srand(time(NULL))`;
0.to 100 do { i : INTEGER;
a.put `rand()`:INTEGER to i;
};
shell a;
a.foreach { item : INTEGER;
item.print;
'\n'.print;
};
);
- shell a : ARRAY[INTEGER] <- (
+ lower, length, increment, temp : INTEGER;
lower := a.lower;
length := a.upper - lower + 1;
increment := length;
{
increment := increment / 2;
increment > 0
}.while_do {
increment.to (length - 1) do { i : INTEGER; + j : INTEGER;
temp := a.item(lower + i);
j := i - increment;
{ (j >= 0) && { a.item(lower + j) > temp } }.while_do {
a.put (a.item(lower + j)) to (lower + j + increment);
j := j - increment;
};
a.put temp to (lower + j + increment);
};
};
); |
http://rosettacode.org/wiki/Sorting_algorithms/Shell_sort | Sorting algorithms/Shell sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of elements using the Shell sort algorithm, a diminishing increment sort.
The Shell sort (also known as Shellsort or Shell's method) is named after its inventor, Donald Shell, who published the algorithm in 1959.
Shell sort is a sequence of interleaved insertion sorts based on an increment sequence.
The increment size is reduced after each pass until the increment size is 1.
With an increment size of 1, the sort is a basic insertion sort, but by this time the data is guaranteed to be almost sorted, which is insertion sort's "best case".
Any sequence will sort the data as long as it ends in 1, but some work better than others.
Empirical studies have shown a geometric increment sequence with a ratio of about 2.2 work well in practice.
[1]
Other good sequences are found at the On-Line Encyclopedia of Integer Sequences.
| #Lua | Lua | function shellsort( a )
local inc = math.ceil( #a / 2 )
while inc > 0 do
for i = inc, #a do
local tmp = a[i]
local j = i
while j > inc and a[j-inc] > tmp do
a[j] = a[j-inc]
j = j - inc
end
a[j] = tmp
end
inc = math.floor( 0.5 + inc / 2.2 )
end
return a
end
a = { -12, 3, 0, 4, 7, 4, 8, -5, 9 }
a = shellsort( a )
for _, i in pairs(a) do
print(i)
end |
http://rosettacode.org/wiki/Stable_marriage_problem | Stable marriage problem | Solve the Stable marriage problem using the Gale/Shapley algorithm.
Problem description
Given an equal number of men and women to be paired for marriage, each man ranks all the women in order of his preference and each woman ranks all the men in order of her preference.
A stable set of engagements for marriage is one where no man prefers a woman over the one he is engaged to, where that other woman also prefers that man over the one she is engaged to. I.e. with consulting marriages, there would be no reason for the engagements between the people to change.
Gale and Shapley proved that there is a stable set of engagements for any set of preferences and the first link above gives their algorithm for finding a set of stable engagements.
Task Specifics
Given ten males:
abe, bob, col, dan, ed, fred, gav, hal, ian, jon
And ten females:
abi, bea, cath, dee, eve, fay, gay, hope, ivy, jan
And a complete list of ranked preferences, where the most liked is to the left:
abe: abi, eve, cath, ivy, jan, dee, fay, bea, hope, gay
bob: cath, hope, abi, dee, eve, fay, bea, jan, ivy, gay
col: hope, eve, abi, dee, bea, fay, ivy, gay, cath, jan
dan: ivy, fay, dee, gay, hope, eve, jan, bea, cath, abi
ed: jan, dee, bea, cath, fay, eve, abi, ivy, hope, gay
fred: bea, abi, dee, gay, eve, ivy, cath, jan, hope, fay
gav: gay, eve, ivy, bea, cath, abi, dee, hope, jan, fay
hal: abi, eve, hope, fay, ivy, cath, jan, bea, gay, dee
ian: hope, cath, dee, gay, bea, abi, fay, ivy, jan, eve
jon: abi, fay, jan, gay, eve, bea, dee, cath, ivy, hope
abi: bob, fred, jon, gav, ian, abe, dan, ed, col, hal
bea: bob, abe, col, fred, gav, dan, ian, ed, jon, hal
cath: fred, bob, ed, gav, hal, col, ian, abe, dan, jon
dee: fred, jon, col, abe, ian, hal, gav, dan, bob, ed
eve: jon, hal, fred, dan, abe, gav, col, ed, ian, bob
fay: bob, abe, ed, ian, jon, dan, fred, gav, col, hal
gay: jon, gav, hal, fred, bob, abe, col, ed, dan, ian
hope: gav, jon, bob, abe, ian, dan, hal, ed, col, fred
ivy: ian, col, hal, gav, fred, bob, abe, ed, jon, dan
jan: ed, hal, gav, abe, bob, jon, col, ian, fred, dan
Use the Gale Shapley algorithm to find a stable set of engagements
Perturb this set of engagements to form an unstable set of engagements then check this new set for stability.
References
The Stable Marriage Problem. (Eloquent description and background information).
Gale-Shapley Algorithm Demonstration.
Another Gale-Shapley Algorithm Demonstration.
Stable Marriage Problem - Numberphile (Video).
Stable Marriage Problem (the math bit) (Video).
The Stable Marriage Problem and School Choice. (Excellent exposition)
| #XSLT_2.0 | XSLT 2.0 | <xsl:stylesheet version="2.0"
xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
xmlns:fn="http://www.w3.org/2005/xpath-functions"
xmlns:xs="http://www.w3.org/2001/XMLSchema"
xmlns:m="http://rosettacode.org/wiki/Stable_marriage_problem"
xmlns:t="http://rosettacode.org/wiki/Stable_marriage_problem/temp"
exclude-result-prefixes="xsl xs fn t m">
<xsl:output indent="yes" encoding="UTF-8" omit-xml-declaration="yes" />
<xsl:strip-space elements="*" />
<xsl:template match="*">
<xsl:copy>
<xsl:apply-templates select="@*,node()" />
</xsl:copy>
</xsl:template>
<xsl:template match="@*|comment()|processing-instruction()">
<xsl:copy />
</xsl:template>
<xsl:template match="m:interest" mode="match-making">
<m:engagement>
<m:dude name="{../@name}" /><m:maid name="{.}" />
</m:engagement>
</xsl:template>
<xsl:template match="m:dude" mode="match-making">
<!-- 3. Reject suitors cross-off the maids that spurned them. -->
<xsl:param name="eliminations" select="()" />
<m:dude name="{@name}">
<xsl:copy-of select="for $b in @name return
m:interest[not(. = $eliminations[m:dude/@name=$b]/m:maid/@name)]" />
</m:dude>
</xsl:template>
<xsl:template match="*" mode="perturbation">
<xsl:copy>
<xsl:apply-templates select="@*,node()" mode="perturbation"/>
</xsl:copy>
</xsl:template>
<xsl:template match="@*" mode="perturbation">
<xsl:copy />
</xsl:template>
<xsl:template match="m:engagement[position() lt 3]/m:maid/@name" mode="perturbation">
<!-- Swap maids 1 and 2. -->
<xsl:copy-of select="for $c in count(../../preceding-sibling::m:engagement)
return ../../../m:engagement[2 - $c]/m:maid/@name" />
</xsl:template>
<xsl:template match="m:stable-marriage-problem">
<xsl:variable name="population" select="m:dude|m:maid" />
<xsl:variable name="solution">
<xsl:call-template name="solve-it">
<xsl:with-param name="dudes" select="m:dude" />
<xsl:with-param name="maids" select="m:maid" tunnel="yes" />
</xsl:call-template>
</xsl:variable>
<xsl:variable name="perturbed">
<xsl:apply-templates select="$solution/*" mode="perturbation" />
</xsl:variable>
<m:stable-marriage-problem-result>
<m:solution is-stable="{t:is-stable( $population, $solution/*)}">
<xsl:copy-of select="$solution/*" />
</m:solution>
<m:message>Perturbing the matches! Swapping <xsl:value-of select="$solution/*[1]/m:maid/@name" /> for <xsl:value-of select="$solution/*[2]/m:maid/@name" /></m:message>
<m:message><xsl:choose>
<xsl:when test="t:is-stable( $population, $perturbed/*)">
<xsl:text>The perturbed configuration is stable.</xsl:text>
</xsl:when>
<xsl:otherwise>The perturbed configuration is unstable.</xsl:otherwise>
</xsl:choose></m:message>
</m:stable-marriage-problem-result>
</xsl:template>
<xsl:template name="solve-it">
<xsl:param name="dudes" as="element()*" /> <!-- Sequence of m:dude -->
<xsl:param name="maids" as="element()*" tunnel="yes" /> <!-- Sequence of m:maid -->
<xsl:param name="engagements" as="element()*" select="()" /> <!-- Sequence of m:engagement -->
<!-- 1. For each dude not yet engaged, and has a preference, propose to his top preference. -->
<xsl:variable name="fresh-proposals">
<xsl:apply-templates select="$dudes[not(@name = $engagements/m:dude/@name)]/m:interest[1]" mode="match-making" />
</xsl:variable>
<xsl:variable name="proposals" select="$engagements | $fresh-proposals/m:engagement" />
<!-- 2. For each maid with conflicting suitors, reject all but the most attractive (for her) proposal. -->
<xsl:variable name="acceptable" select="$proposals[
for $g in m:maid/@name, $b in m:dude/@name, $this-interest in $maids[@name=$g]/m:interest[.=$b]
return every
$interest
in
for $other-b in $proposals[m:maid[@name=$g]]/m:dude/@name[. ne $b]
return $maids[@name=$g]/m:interest[.=$other-b]
satisfies
$interest >> $this-interest
]" />
<!-- 3. Reject suitors cross-off the maids that spurned them. -->
<xsl:variable name="new-dudes">
<xsl:apply-templates select="$dudes" mode="match-making">
<xsl:with-param name="eliminations" select="$fresh-proposals/m:engagement" />
</xsl:apply-templates>
</xsl:variable>
<!-- 4. Test for finish. If not, loop back for another round of proposals. -->
<xsl:choose>
<xsl:when test="$dudes[not(for $b in @name return $acceptable[m:dude/@name=$b])]">
<xsl:call-template name="solve-it">
<xsl:with-param name="dudes" select="$new-dudes/m:dude" />
<xsl:with-param name="engagements" select="$acceptable" />
</xsl:call-template>
</xsl:when>
<xsl:otherwise>
<xsl:copy-of select="$acceptable" />
</xsl:otherwise>
</xsl:choose>
</xsl:template>
<xsl:function name="t:is-stable" as="xs:boolean">
<xsl:param name="population" as="element()*" />
<xsl:param name="engagements" as="element()*" />
<xsl:sequence select="
every $e in $engagements,
$b in string($e/m:dude/@name), $g in string($e/m:maid/@name),
$desired-g in $population/self::m:dude[@name=$b]/m:interest[$g=following-sibling::m:interest],
$desired-maid in $population/self::m:maid[@name=$desired-g]
satisfies
not(
$desired-maid/m:interest[.=$b] <<
$desired-maid/m:interest[.=$engagements[m:maid[@name=$desired-g]]/m:dude/@name])
" />
</xsl:function>
</xsl:stylesheet> |
http://rosettacode.org/wiki/Stack | Stack |
Data Structure
This illustrates a data structure, a means of storing data within a program.
You may see other such structures in the Data Structures category.
A stack is a container of elements with last in, first out access policy. Sometimes it also called LIFO.
The stack is accessed through its top.
The basic stack operations are:
push stores a new element onto the stack top;
pop returns the last pushed stack element, while removing it from the stack;
empty tests if the stack contains no elements.
Sometimes the last pushed stack element is made accessible for immutable access (for read) or mutable access (for write):
top (sometimes called peek to keep with the p theme) returns the topmost element without modifying the stack.
Stacks allow a very simple hardware implementation.
They are common in almost all processors.
In programming, stacks are also very popular for their way (LIFO) of resource management, usually memory.
Nested scopes of language objects are naturally implemented by a stack (sometimes by multiple stacks).
This is a classical way to implement local variables of a re-entrant or recursive subprogram. Stacks are also used to describe a formal computational framework.
See stack machine.
Many algorithms in pattern matching, compiler construction (e.g. recursive descent parsers), and machine learning (e.g. based on tree traversal) have a natural representation in terms of stacks.
Task
Create a stack supporting the basic operations: push, pop, empty.
See also
Array
Associative array: Creation, Iteration
Collections
Compound data type
Doubly-linked list: Definition, Element definition, Element insertion, List Traversal, Element Removal
Linked list
Queue: Definition, Usage
Set
Singly-linked list: Element definition, Element insertion, List Traversal, Element Removal
Stack
| #Lua | Lua | stack = {}
table.insert(stack,3)
print(table.remove(stack)) --> 3 |
http://rosettacode.org/wiki/Spiral_matrix | Spiral matrix | Task
Produce a spiral array.
A spiral array is a square arrangement of the first N2 natural numbers, where the
numbers increase sequentially as you go around the edges of the array spiraling inwards.
For example, given 5, produce this array:
0 1 2 3 4
15 16 17 18 5
14 23 24 19 6
13 22 21 20 7
12 11 10 9 8
Related tasks
Zig-zag matrix
Identity_matrix
Ulam_spiral_(for_primes)
| #Nim | Nim | import sequtils, strutils
proc `$`(m: seq[seq[int]]): string =
for r in m:
let lg = result.len
for c in r:
result.addSep(" ", lg)
result.add align($c, 2)
result.add '\n'
proc spiral(n: Positive): seq[seq[int]] =
result = newSeqWith(n, repeat(-1, n))
var dx = 1
var dy, x, y = 0
for i in 0 ..< (n * n):
result[y][x] = i
let (nx, ny) = (x+dx, y+dy)
if nx in 0 ..< n and ny in 0 ..< n and result[ny][nx] == -1:
x = nx
y = ny
else:
swap dx, dy
dx = -dx
x += dx
y += dy
echo spiral(5) |
http://rosettacode.org/wiki/Sorting_algorithms/Radix_sort | Sorting algorithms/Radix sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an integer array with the radix sort algorithm.
The primary purpose is to complete the characterization of sort algorithms task.
| #Perl | Perl | #!/usr/bin/perl
use warnings;
use strict;
sub radix {
my @tab = ([@_]);
my $max_length = 0;
length > $max_length and $max_length = length for @_;
$_ = sprintf "%0${max_length}d", $_ for @{ $tab[0] }; # Add zeros.
for my $pos (reverse -$max_length .. -1) {
my @newtab;
for my $bucket (@tab) {
for my $n (@$bucket) {
my $char = substr $n, $pos, 1;
$char = -1 if '-' eq $char;
$char++;
push @{ $newtab[$char] }, $n;
}
}
@tab = @newtab;
}
my @return;
my $negative = shift @tab; # Negative bucket must be reversed.
push @return, reverse @$negative;
for my $bucket (@tab) {
push @return, @{ $bucket // [] };
}
$_ = 0 + $_ for @return; # Remove zeros.
return @return;
} |
http://rosettacode.org/wiki/Sorting_algorithms/Quicksort | Sorting algorithms/Quicksort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Quicksort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Task
Sort an array (or list) elements using the quicksort algorithm.
The elements must have a strict weak order and the index of the array can be of any discrete type.
For languages where this is not possible, sort an array of integers.
Quicksort, also known as partition-exchange sort, uses these steps.
Choose any element of the array to be the pivot.
Divide all other elements (except the pivot) into two partitions.
All elements less than the pivot must be in the first partition.
All elements greater than the pivot must be in the second partition.
Use recursion to sort both partitions.
Join the first sorted partition, the pivot, and the second sorted partition.
The best pivot creates partitions of equal length (or lengths differing by 1).
The worst pivot creates an empty partition (for example, if the pivot is the first or last element of a sorted array).
The run-time of Quicksort ranges from O(n log n) with the best pivots, to O(n2) with the worst pivots, where n is the number of elements in the array.
This is a simple quicksort algorithm, adapted from Wikipedia.
function quicksort(array)
less, equal, greater := three empty arrays
if length(array) > 1
pivot := select any element of array
for each x in array
if x < pivot then add x to less
if x = pivot then add x to equal
if x > pivot then add x to greater
quicksort(less)
quicksort(greater)
array := concatenate(less, equal, greater)
A better quicksort algorithm works in place, by swapping elements within the array, to avoid the memory allocation of more arrays.
function quicksort(array)
if length(array) > 1
pivot := select any element of array
left := first index of array
right := last index of array
while left ≤ right
while array[left] < pivot
left := left + 1
while array[right] > pivot
right := right - 1
if left ≤ right
swap array[left] with array[right]
left := left + 1
right := right - 1
quicksort(array from first index to right)
quicksort(array from left to last index)
Quicksort has a reputation as the fastest sort. Optimized variants of quicksort are common features of many languages and libraries. One often contrasts quicksort with merge sort, because both sorts have an average time of O(n log n).
"On average, mergesort does fewer comparisons than quicksort, so it may be better when complicated comparison routines are used. Mergesort also takes advantage of pre-existing order, so it would be favored for using sort() to merge several sorted arrays. On the other hand, quicksort is often faster for small arrays, and on arrays of a few distinct values, repeated many times." — http://perldoc.perl.org/sort.html
Quicksort is at one end of the spectrum of divide-and-conquer algorithms, with merge sort at the opposite end.
Quicksort is a conquer-then-divide algorithm, which does most of the work during the partitioning and the recursive calls. The subsequent reassembly of the sorted partitions involves trivial effort.
Merge sort is a divide-then-conquer algorithm. The partioning happens in a trivial way, by splitting the input array in half. Most of the work happens during the recursive calls and the merge phase.
With quicksort, every element in the first partition is less than or equal to every element in the second partition. Therefore, the merge phase of quicksort is so trivial that it needs no mention!
This task has not specified whether to allocate new arrays, or sort in place. This task also has not specified how to choose the pivot element. (Common ways to are to choose the first element, the middle element, or the median of three elements.) Thus there is a variety among the following implementations.
| #AWK | AWK |
# the following qsort implementation extracted from:
#
# ftp://ftp.armory.com/pub/lib/awk/qsort
#
# Copyleft GPLv2 John DuBois
#
# @(#) qsort 1.2.1 2005-10-21
# 1990 john h. dubois iii ([email protected])
#
# qsortArbIndByValue(): Sort an array according to the values of its elements.
#
# Input variables:
#
# Arr[] is an array of values with arbitrary (associative) indices.
#
# Output variables:
#
# k[] is returned with numeric indices 1..n. The values assigned to these
# indices are the indices of Arr[], ordered so that if Arr[] is stepped
# through in the order Arr[k[1]] .. Arr[k[n]], it will be stepped through in
# order of the values of its elements.
#
# Return value: The number of elements in the arrays (n).
#
# NOTES:
#
# Full example for accessing results:
#
# foolist["second"] = 2;
# foolist["zero"] = 0;
# foolist["third"] = 3;
# foolist["first"] = 1;
#
# outlist[1] = 0;
# n = qsortArbIndByValue(foolist, outlist)
#
# for (i = 1; i <= n; i++) {
# printf("item at %s has value %d\n", outlist[i], foolist[outlist[i]]);
# }
# delete outlist;
#
function qsortArbIndByValue(Arr, k,
ArrInd, ElNum)
{
ElNum = 0;
for (ArrInd in Arr) {
k[++ElNum] = ArrInd;
}
qsortSegment(Arr, k, 1, ElNum);
return ElNum;
}
#
# qsortSegment(): Sort a segment of an array.
#
# Input variables:
#
# Arr[] contains data with arbitrary indices.
#
# k[] has indices 1..nelem, with the indices of Arr[] as values.
#
# Output variables:
#
# k[] is modified by this function. The elements of Arr[] that are pointed to
# by k[start..end] are sorted, with the values of elements of k[] swapped
# so that when this function returns, Arr[k[start..end]] will be in order.
#
# Return value: None.
#
function qsortSegment(Arr, k, start, end,
left, right, sepval, tmp, tmpe, tmps)
{
if ((end - start) < 1) { # 0 or 1 elements
return;
}
# handle two-element case explicitly for a tiny speedup
if ((end - start) == 1) {
if (Arr[tmps = k[start]] > Arr[tmpe = k[end]]) {
k[start] = tmpe;
k[end] = tmps;
}
return;
}
# Make sure comparisons act on these as numbers
left = start + 0;
right = end + 0;
sepval = Arr[k[int((left + right) / 2)]];
# Make every element <= sepval be to the left of every element > sepval
while (left < right) {
while (Arr[k[left]] < sepval) {
left++;
}
while (Arr[k[right]] > sepval) {
right--;
}
if (left < right) {
tmp = k[left];
k[left++] = k[right];
k[right--] = tmp;
}
}
if (left == right)
if (Arr[k[left]] < sepval) {
left++;
} else {
right--;
}
if (start < right) {
qsortSegment(Arr, k, start, right);
}
if (left < end) {
qsortSegment(Arr, k, left, end);
}
}
|
http://rosettacode.org/wiki/Sorting_algorithms/Patience_sort | Sorting algorithms/Patience sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Sort an array of numbers (of any convenient size) into ascending order using Patience sorting.
Related task
Longest increasing subsequence
| #jq | jq | def patienceSort:
length as $size
| if $size < 2 then .
else
reduce .[] as $e ( {piles: []};
.outer = false
| first( range(0; .piles|length) as $ipile
| if .piles[$ipile][-1] < $e
then .piles[$ipile] += [$e]
| .outer = true
else empty
end ) // .
| if (.outer|not) then .piles += [[$e]] else . end )
| reduce range(0; $size) as $i (.;
.min = .piles[0][0]
| .minPileIndex = 0
| reduce range(1; .piles|length) as $j (.;
if .piles[$j][0] < .min
then .min = .piles[$j][0]
| .minPileIndex = $j
else .
end )
| .a += [.min]
| .minPileIndex as $mpx
| .piles[$mpx] |= .[1:]
| if (.piles[$mpx] == []) then .piles |= .[:$mpx] + .[$mpx + 1:]
else .
end)
end
| .a ;
[4, 65, 2, -31, 0, 99, 83, 782, 1],
["n", "o", "n", "z", "e", "r", "o", "s", "u", "m"],
["dog", "cow", "cat", "ape", "ant", "man", "pig", "ass", "gnu"]
| patienceSort |
http://rosettacode.org/wiki/Sorting_algorithms/Insertion_sort | Sorting algorithms/Insertion sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Insertion sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
An O(n2) sorting algorithm which moves elements one at a time into the correct position.
The algorithm consists of inserting one element at a time into the previously sorted part of the array, moving higher ranked elements up as necessary.
To start off, the first (or smallest, or any arbitrary) element of the unsorted array is considered to be the sorted part.
Although insertion sort is an O(n2) algorithm, its simplicity, low overhead, good locality of reference and efficiency make it a good choice in two cases:
small n,
as the final finishing-off algorithm for O(n logn) algorithms such as mergesort and quicksort.
The algorithm is as follows (from wikipedia):
function insertionSort(array A)
for i from 1 to length[A]-1 do
value := A[i]
j := i-1
while j >= 0 and A[j] > value do
A[j+1] := A[j]
j := j-1
done
A[j+1] = value
done
Writing the algorithm for integers will suffice.
| #ARM_Assembly | ARM Assembly |
/* ARM assembly Raspberry PI */
/* program insertionSort.s */
/* look Pseudocode begin this task */
/************************************/
/* Constantes */
/************************************/
.equ STDOUT, 1 @ Linux output console
.equ EXIT, 1 @ Linux syscall
.equ WRITE, 4 @ Linux syscall
/*********************************/
/* Initialized data */
/*********************************/
.data
szMessSortOk: .asciz "Table sorted.\n"
szMessSortNok: .asciz "Table not sorted !!!!!.\n"
sMessResult: .ascii "Value : "
sMessValeur: .fill 11, 1, ' ' @ size => 11
szCarriageReturn: .asciz "\n"
.align 4
iGraine: .int 123456
.equ NBELEMENTS, 10
#TableNumber: .int 1,3,6,2,5,9,10,8,4,7
TableNumber: .int 10,9,8,7,6,5,4,3,2,1
/*********************************/
/* UnInitialized data */
/*********************************/
.bss
/*********************************/
/* code section */
/*********************************/
.text
.global main
main: @ entry of program
1:
ldr r0,iAdrTableNumber @ address number table
mov r1,#0
mov r2,#NBELEMENTS @ number of élements
bl insertionSort
ldr r0,iAdrTableNumber @ address number table
bl displayTable
ldr r0,iAdrTableNumber @ address number table
mov r1,#NBELEMENTS @ number of élements
bl isSorted @ control sort
cmp r0,#1 @ sorted ?
beq 2f
ldr r0,iAdrszMessSortNok @ no !! error sort
bl affichageMess
b 100f
2: @ yes
ldr r0,iAdrszMessSortOk
bl affichageMess
100: @ standard end of the program
mov r0, #0 @ return code
mov r7, #EXIT @ request to exit program
svc #0 @ perform the system call
iAdrsMessValeur: .int sMessValeur
iAdrszCarriageReturn: .int szCarriageReturn
iAdrsMessResult: .int sMessResult
iAdrTableNumber: .int TableNumber
iAdrszMessSortOk: .int szMessSortOk
iAdrszMessSortNok: .int szMessSortNok
/******************************************************************/
/* control sorted table */
/******************************************************************/
/* r0 contains the address of table */
/* r1 contains the number of elements > 0 */
/* r0 return 0 if not sorted 1 if sorted */
isSorted:
push {r2-r4,lr} @ save registers
mov r2,#0
ldr r4,[r0,r2,lsl #2]
1:
add r2,#1
cmp r2,r1
movge r0,#1
bge 100f
ldr r3,[r0,r2, lsl #2]
cmp r3,r4
movlt r0,#0
blt 100f
mov r4,r3
b 1b
100:
pop {r2-r4,lr}
bx lr @ return
/******************************************************************/
/* insertion sort */
/******************************************************************/
/* r0 contains the address of table */
/* r1 contains the first element */
/* r2 contains the number of element */
insertionSort:
push {r2,r3,r4,lr} @ save registers
add r3,r1,#1 @ start index i
1: @ start loop
ldr r4,[r0,r3,lsl #2] @ load value A[i]
sub r5,r3,#1 @ index j
2:
ldr r6,[r0,r5,lsl #2] @ load value A[j]
cmp r6,r4 @ compare value
ble 3f
add r5,#1 @ increment index j
str r6,[r0,r5,lsl #2] @ store value A[j+1]
sub r5,#2 @ j = j - 1
cmp r5,r1
bge 2b @ loop if j >= first item
3:
add r5,#1 @ increment index j
str r4,[r0,r5,lsl #2] @ store value A[i] in A[j+1]
add r3,#1 @ increment index i
cmp r3,r2 @ end ?
blt 1b @ no -> loop
100:
pop {r2,r3,r4,lr}
bx lr @ return
/******************************************************************/
/* Display table elements */
/******************************************************************/
/* r0 contains the address of table */
displayTable:
push {r0-r3,lr} @ save registers
mov r2,r0 @ table address
mov r3,#0
1: @ loop display table
ldr r0,[r2,r3,lsl #2]
ldr r1,iAdrsMessValeur @ display value
bl conversion10 @ call function
ldr r0,iAdrsMessResult
bl affichageMess @ display message
add r3,#1
cmp r3,#NBELEMENTS - 1
ble 1b
ldr r0,iAdrszCarriageReturn
bl affichageMess
100:
pop {r0-r3,lr}
bx lr
/******************************************************************/
/* display text with size calculation */
/******************************************************************/
/* r0 contains the address of the message */
affichageMess:
push {r0,r1,r2,r7,lr} @ save registres
mov r2,#0 @ counter length
1: @ loop length calculation
ldrb r1,[r0,r2] @ read octet start position + index
cmp r1,#0 @ if 0 its over
addne r2,r2,#1 @ else add 1 in the length
bne 1b @ and loop
@ so here r2 contains the length of the message
mov r1,r0 @ address message in r1
mov r0,#STDOUT @ code to write to the standard output Linux
mov r7, #WRITE @ code call system "write"
svc #0 @ call systeme
pop {r0,r1,r2,r7,lr} @ restaur des 2 registres */
bx lr @ return
/******************************************************************/
/* Converting a register to a decimal unsigned */
/******************************************************************/
/* r0 contains value and r1 address area */
/* r0 return size of result (no zero final in area) */
/* area size => 11 bytes */
.equ LGZONECAL, 10
conversion10:
push {r1-r4,lr} @ save registers
mov r3,r1
mov r2,#LGZONECAL
1: @ start loop
bl divisionpar10U @ unsigned r0 <- dividende. quotient ->r0 reste -> r1
add r1,#48 @ digit
strb r1,[r3,r2] @ store digit on area
cmp r0,#0 @ stop if quotient = 0
subne r2,#1 @ else previous position
bne 1b @ and loop
@ and move digit from left of area
mov r4,#0
2:
ldrb r1,[r3,r2]
strb r1,[r3,r4]
add r2,#1
add r4,#1
cmp r2,#LGZONECAL
ble 2b
@ and move spaces in end on area
mov r0,r4 @ result length
mov r1,#' ' @ space
3:
strb r1,[r3,r4] @ store space in area
add r4,#1 @ next position
cmp r4,#LGZONECAL
ble 3b @ loop if r4 <= area size
100:
pop {r1-r4,lr} @ restaur registres
bx lr @return
/***************************************************/
/* division par 10 unsigned */
/***************************************************/
/* r0 dividende */
/* r0 quotient */
/* r1 remainder */
divisionpar10U:
push {r2,r3,r4, lr}
mov r4,r0 @ save value
//mov r3,#0xCCCD @ r3 <- magic_number lower raspberry 3
//movt r3,#0xCCCC @ r3 <- magic_number higter raspberry 3
ldr r3,iMagicNumber @ r3 <- magic_number raspberry 1 2
umull r1, r2, r3, r0 @ r1<- Lower32Bits(r1*r0) r2<- Upper32Bits(r1*r0)
mov r0, r2, LSR #3 @ r2 <- r2 >> shift 3
add r2,r0,r0, lsl #2 @ r2 <- r0 * 5
sub r1,r4,r2, lsl #1 @ r1 <- r4 - (r2 * 2) = r4 - (r0 * 10)
pop {r2,r3,r4,lr}
bx lr @ leave function
iMagicNumber: .int 0xCCCCCCCD
|
http://rosettacode.org/wiki/Sorting_algorithms/Permutation_sort | Sorting algorithms/Permutation sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a permutation sort, which proceeds by generating the possible permutations
of the input array/list until discovering the sorted one.
Pseudocode:
while not InOrder(list) do
nextPermutation(list)
done
| #PicoLisp | PicoLisp | (de permutationSort (Lst)
(let L Lst
(recur (L) # Permute
(if (cdr L)
(do (length L)
(T (recurse (cdr L)) Lst)
(rot L)
NIL )
(apply <= Lst) ) ) ) ) |
http://rosettacode.org/wiki/Sorting_algorithms/Permutation_sort | Sorting algorithms/Permutation sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a permutation sort, which proceeds by generating the possible permutations
of the input array/list until discovering the sorted one.
Pseudocode:
while not InOrder(list) do
nextPermutation(list)
done
| #PowerShell | PowerShell | Function PermutationSort( [Object[]] $indata, $index = 0, $k = 0 )
{
$data = $indata.Clone()
$datal = $data.length - 1
if( $datal -gt 0 ) {
for( $j = $index; $j -lt $datal; $j++ )
{
$sorted = ( PermutationSort $data ( $index + 1 ) $j )[0]
if( -not $sorted )
{
$temp = $data[ $index ]
$data[ $index ] = $data[ $j + 1 ]
$data[ $j + 1 ] = $temp
}
}
if( $index -lt ( $datal - 1 ) )
{
PermutationSort $data ( $index + 1 ) $j
} else {
$sorted = $true
for( $i = 0; ( $i -lt $datal ) -and $sorted; $i++ )
{
$sorted = ( $data[ $i ] -le $data[ $i + 1 ] )
}
$sorted
$data
}
}
}
0..4 | ForEach-Object { $a = $_; 0..4 | Where-Object { -not ( $_ -match "$a" ) } |
ForEach-Object { $b = $_; 0..4 | Where-Object { -not ( $_ -match "$a|$b" ) } |
ForEach-Object { $c = $_; 0..4 | Where-Object { -not ( $_ -match "$a|$b|$c" ) } |
ForEach-Object { $d = $_; 0..4 | Where-Object { -not ( $_ -match "$a|$b|$c|$d" ) } |
ForEach-Object { $e=$_; "$( PermutationSort ( $a, $b, $c, $d, $e ) )" }
}
}
}
}
$l = 8; PermutationSort ( 1..$l | ForEach-Object { $Rand = New-Object Random }{ $Rand.Next( 0, $l - 1 ) } ) |
http://rosettacode.org/wiki/Sorting_algorithms/Heapsort | Sorting algorithms/Heapsort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Heapsort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Heapsort is an in-place sorting algorithm with worst case and average complexity of O(n logn).
The basic idea is to turn the array into a binary heap structure, which has the property that it allows efficient retrieval and removal of the maximal element.
We repeatedly "remove" the maximal element from the heap, thus building the sorted list from back to front.
A heap sort requires random access, so can only be used on an array-like data structure.
Pseudocode:
function heapSort(a, count) is
input: an unordered array a of length count
(first place a in max-heap order)
heapify(a, count)
end := count - 1
while end > 0 do
(swap the root(maximum value) of the heap with the
last element of the heap)
swap(a[end], a[0])
(decrement the size of the heap so that the previous
max value will stay in its proper place)
end := end - 1
(put the heap back in max-heap order)
siftDown(a, 0, end)
function heapify(a,count) is
(start is assigned the index in a of the last parent node)
start := (count - 2) / 2
while start ≥ 0 do
(sift down the node at index start to the proper place
such that all nodes below the start index are in heap
order)
siftDown(a, start, count-1)
start := start - 1
(after sifting down the root all nodes/elements are in heap order)
function siftDown(a, start, end) is
(end represents the limit of how far down the heap to sift)
root := start
while root * 2 + 1 ≤ end do (While the root has at least one child)
child := root * 2 + 1 (root*2+1 points to the left child)
(If the child has a sibling and the child's value is less than its sibling's...)
if child + 1 ≤ end and a[child] < a[child + 1] then
child := child + 1 (... then point to the right child instead)
if a[root] < a[child] then (out of max-heap order)
swap(a[root], a[child])
root := child (repeat to continue sifting down the child now)
else
return
Write a function to sort a collection of integers using heapsort.
| #11l | 11l | F siftdown(&lst, start, end)
V root = start
L
V child = root * 2 + 1
I child > end
L.break
I child + 1 <= end & lst[child] < lst[child + 1]
child++
I lst[root] < lst[child]
swap(&lst[root], &lst[child])
root = child
E
L.break
F heapsort(&lst)
L(start) ((lst.len - 2) I/ 2 .. 0).step(-1)
siftdown(&lst, start, lst.len - 1)
L(end) (lst.len - 1 .< 0).step(-1)
swap(&lst[end], &lst[0])
siftdown(&lst, 0, end - 1)
V arr = [7, 6, 5, 9, 8, 4, 3, 1, 2, 0]
heapsort(&arr)
print(arr) |
http://rosettacode.org/wiki/Sorting_algorithms/Merge_sort | Sorting algorithms/Merge sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
The merge sort is a recursive sort of order n*log(n).
It is notable for having a worst case and average complexity of O(n*log(n)), and a best case complexity of O(n) (for pre-sorted input).
The basic idea is to split the collection into smaller groups by halving it until the groups only have one element or no elements (which are both entirely sorted groups).
Then merge the groups back together so that their elements are in order.
This is how the algorithm gets its divide and conquer description.
Task
Write a function to sort a collection of integers using the merge sort.
The merge sort algorithm comes in two parts:
a sort function and
a merge function
The functions in pseudocode look like this:
function mergesort(m)
var list left, right, result
if length(m) ≤ 1
return m
else
var middle = length(m) / 2
for each x in m up to middle - 1
add x to left
for each x in m at and after middle
add x to right
left = mergesort(left)
right = mergesort(right)
if last(left) ≤ first(right)
append right to left
return left
result = merge(left, right)
return result
function merge(left,right)
var list result
while length(left) > 0 and length(right) > 0
if first(left) ≤ first(right)
append first(left) to result
left = rest(left)
else
append first(right) to result
right = rest(right)
if length(left) > 0
append rest(left) to result
if length(right) > 0
append rest(right) to result
return result
See also
the Wikipedia entry: merge sort
Note: better performance can be expected if, rather than recursing until length(m) ≤ 1, an insertion sort is used for length(m) smaller than some threshold larger than 1. However, this complicates the example code, so it is not shown here.
| #360_Assembly | 360 Assembly | * Merge sort 19/06/2016
MAIN CSECT
STM R14,R12,12(R13) save caller's registers
LR R12,R15 set R12 as base register
USING MAIN,R12 notify assembler
LA R11,SAVEXA get the address of my savearea
ST R13,4(R11) save caller's save area pointer
ST R11,8(R13) save my save area pointer
LR R13,R11 set R13 to point to my save area
LA R1,1 1
LA R2,NN hbound(a)
BAL R14,SPLIT call split(1,hbound(a))
LA RPGI,PG pgi=0
LA RI,1 i=1
DO WHILE=(C,RI,LE,=A(NN)) do i=1 to hbound(a)
LR R1,RI i
SLA R1,2 .
L R2,A-4(R1) a(i)
XDECO R2,XDEC edit a(i)
MVC 0(4,RPGI),XDEC+8 output a(i)
LA RPGI,4(RPGI) pgi=pgi+4
LA RI,1(RI) i=i+1
ENDDO , end do
XPRNT PG,80 print buffer
L R13,SAVEXA+4 restore caller's savearea address
LM R14,R12,12(R13) restore caller's registers
XR R15,R15 set return code to 0
BR R14 return to caller
* split(istart,iend) ------recursive---------------------
SPLIT STM R14,R12,12(R13) save all registers
LR R9,R1 save R1
LA R1,72 amount of storage required
GETMAIN RU,LV=(R1) allocate storage for stack
USING STACK,R10 make storage addressable
LR R10,R1 establish stack addressability
LA R11,SAVEXB get the address of my savearea
ST R13,4(R11) save caller's save area pointer
ST R11,8(R13) save my save area pointer
LR R13,R11 set R13 to point to my save area
LR R1,R9 restore R1
LR RSTART,R1 istart=R1
LR REND,R2 iend=R2
IF CR,REND,EQ,RSTART THEN if iend=istart
B RETURN return
ENDIF , end if
BCTR R2,0 iend-1
IF C,R2,EQ,RSTART THEN if iend-istart=1
LR R1,REND iend
SLA R1,2 .
L R2,A-4(R1) a(iend)
LR R1,RSTART istart
SLA R1,2 .
L R3,A-4(R1) a(istart)
IF CR,R2,LT,R3 THEN if a(iend)<a(istart)
LR R1,RSTART istart
SLA R1,2 .
LA R2,A-4(R1) @a(istart)
LR R1,REND iend
SLA R1,2 .
LA R3,A-4(R1) @a(iend)
MVC TEMP,0(R2) temp=a(istart)
MVC 0(4,R2),0(R3) a(istart)=a(iend)
MVC 0(4,R3),TEMP a(iend)=temp
ENDIF , end if
B RETURN return
ENDIF , end if
LR RMIDDL,REND iend
SR RMIDDL,RSTART iend-istart
SRA RMIDDL,1 (iend-istart)/2
AR RMIDDL,RSTART imiddl=istart+(iend-istart)/2
LR R1,RSTART istart
LR R2,RMIDDL imiddl
BAL R14,SPLIT call split(istart,imiddl)
LA R1,1(RMIDDL) imiddl+1
LR R2,REND iend
BAL R14,SPLIT call split(imiddl+1,iend)
LR R1,RSTART istart
LR R2,RMIDDL imiddl
LR R3,REND iend
BAL R14,MERGE call merge(istart,imiddl,iend)
RETURN L R13,SAVEXB+4 restore caller's savearea address
XR R15,R15 set return code to 0
LA R0,72 amount of storage to free
FREEMAIN A=(R10),LV=(R0) free allocated storage
L R14,12(R13) restore caller's return address
LM R2,R12,28(R13) restore registers R2 to R12
BR R14 return to caller
DROP R10 base no longer needed
* merge(jstart,jmiddl,jend) ------------------------------------
MERGE STM R1,R3,JSTART jstart=r1,jmiddl=r2,jend=r3
SR R2,R1 jmiddl-jstart
LA RBS,2(R2) bs=jmiddl-jstart+2
LA RI,1 i=1
LR R3,RBS bs
BCTR R3,0 bs-1
DO WHILE=(CR,RI,LE,R3) do i=0 to bs-1
L R2,JSTART jstart
AR R2,RI jstart+i
SLA R2,2 .
L R2,A-8(R2) a(jstart+i-1)
LR R1,RI i
SLA R1,2 .
ST R2,B-4(R1) b(i)=a(jstart+i-1)
LA RI,1(RI) i=i+1
ENDDO , end do
LA RI,1 i=1
L RJ,JMIDDL j=jmiddl
LA RJ,1(RJ) j=jmiddl+1
L RK,JSTART k=jstart
DO UNTIL=(CR,RI,EQ,RBS,OR, do until i=bs or X
C,RJ,GT,JEND) j>jend
LR R1,RI i
SLA R1,2 .
L R4,B-4(R1) r4=b(i)
LR R1,RJ j
SLA R1,2 .
L R3,A-4(R1) r3=a(j)
LR R9,RK k
SLA R9,2 r9 for a(k)
IF CR,R4,LE,R3 THEN if b(i)<=a(j)
ST R4,A-4(R9) a(k)=b(i)
LA RI,1(RI) i=i+1
ELSE , else
ST R3,A-4(R9) a(k)=a(j)
LA RJ,1(RJ) j=j+1
ENDIF , end if
LA RK,1(RK) k=k+1
ENDDO , end do
DO WHILE=(CR,RI,LT,RBS) do while i<bs
LR R1,RI i
SLA R1,2 .
L R2,B-4(R1) b(i)
LR R1,RK k
SLA R1,2 .
ST R2,A-4(R1) a(k)=b(i)
LA RI,1(RI) i=i+1
LA RK,1(RK) k=k+1
ENDDO , end do
BR R14 return to caller
* ------- ------------------ ------------------------------------
LTORG
SAVEXA DS 18F savearea of main
NN EQU ((B-A)/L'A) number of items
A DC F'4',F'65',F'2',F'-31',F'0',F'99',F'2',F'83',F'782',F'1'
DC F'45',F'82',F'69',F'82',F'104',F'58',F'88',F'112',F'89',F'74'
B DS (NN/2+1)F merge sort static storage
TEMP DS F for swap
JSTART DS F jstart
JMIDDL DS F jmiddl
JEND DS F jend
PG DC CL80' ' buffer
XDEC DS CL12 for edit
STACK DSECT dynamic area
SAVEXB DS 18F " savearea of mergsort (72 bytes)
YREGS
RI EQU 6 i
RJ EQU 7 j
RK EQU 8 k
RSTART EQU 6 istart
REND EQU 7 i
RMIDDL EQU 8 i
RPGI EQU 3 pgi
RBS EQU 0 bs
END MAIN |
http://rosettacode.org/wiki/Sorting_algorithms/Pancake_sort | Sorting algorithms/Pancake sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of integers (of any convenient size) into ascending order using Pancake sorting.
In short, instead of individual elements being sorted, the only operation allowed is to "flip" one end of the list, like so:
Before: 6 7 8 9 2 5 3 4 1
After: 9 8 7 6 2 5 3 4 1
Only one end of the list can be flipped; this should be the low end, but the high end is okay if it's easier to code or works better, but it must be the same end for the entire solution. (The end flipped can't be arbitrarily changed.)
Show both the initial, unsorted list and the final sorted list.
(Intermediate steps during sorting are optional.)
Optimizations are optional (but recommended).
Related tasks
Number reversal game
Topswops
Also see
Wikipedia article: pancake sorting.
| #Go | Go | package main
import "fmt"
func main() {
list := pancake{31, 41, 59, 26, 53, 58, 97, 93, 23, 84}
fmt.Println("unsorted:", list)
list.sort()
fmt.Println("sorted! ", list)
}
type pancake []int
func (a pancake) sort() {
for uns := len(a) - 1; uns > 0; uns-- {
// find largest in unsorted range
lx, lg := 0, a[0]
for i := 1; i <= uns; i++ {
if a[i] > lg {
lx, lg = i, a[i]
}
}
// move to final position in two flips
a.flip(lx)
a.flip(uns)
}
}
func (a pancake) flip(r int) {
for l := 0; l < r; l, r = l+1, r-1 {
a[l], a[r] = a[r], a[l]
}
} |
http://rosettacode.org/wiki/Sorting_algorithms/Stooge_sort | Sorting algorithms/Stooge sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Stooge sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Task
Show the Stooge Sort for an array of integers.
The Stooge Sort algorithm is as follows:
algorithm stoogesort(array L, i = 0, j = length(L)-1)
if L[j] < L[i] then
L[i] ↔ L[j]
if j - i > 1 then
t := (j - i + 1)/3
stoogesort(L, i , j-t)
stoogesort(L, i+t, j )
stoogesort(L, i , j-t)
return L
| #Oz | Oz | declare
proc {StoogeSort Arr}
proc {Swap I J}
Tmp = Arr.I
in
Arr.I := Arr.J
Arr.J := Tmp
end
proc {Sort I J}
Size = J-I+1
in
if Arr.J < Arr.I then
{Swap I J}
end
if Size >= 3 then
Third = Size div 3
in
{Sort I J-Third}
{Sort I+Third J}
{Sort I J-Third}
end
end
in
{Sort {Array.low Arr} {Array.high Arr}}
end
Arr = {Tuple.toArray unit(1 4 5 3 ~6 3 7 10 ~2 ~5 7 5 9 ~3 7)}
in
{System.printInfo "\nUnsorted: "}
for I in {Array.low Arr}..{Array.high Arr} do
{System.printInfo Arr.I#", "}
end
{StoogeSort Arr}
{System.printInfo "\nSorted : "}
for I in {Array.low Arr}..{Array.high Arr} do
{System.printInfo Arr.I#", "}
end |
http://rosettacode.org/wiki/Sorting_algorithms/Sleep_sort | Sorting algorithms/Sleep sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
In general, sleep sort works by starting a separate task for each item to be sorted, where each task sleeps for an interval corresponding to the item's sort key, then emits the item. Items are then collected sequentially in time.
Task: Write a program that implements sleep sort. Have it accept non-negative integers on the command line and print the integers in sorted order. If this is not idomatic in your language or environment, input and output may be done differently. Enhancements for optimization, generalization, practicality, robustness, and so on are not required.
Sleep sort was presented anonymously on 4chan and has been discussed on Hacker News.
| #UNIX_Shell | UNIX Shell | f() {
sleep "$1"
echo "$1"
}
while [ -n "$1" ]
do
f "$1" &
shift
done
wait |
http://rosettacode.org/wiki/Sorting_algorithms/Sleep_sort | Sorting algorithms/Sleep sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
In general, sleep sort works by starting a separate task for each item to be sorted, where each task sleeps for an interval corresponding to the item's sort key, then emits the item. Items are then collected sequentially in time.
Task: Write a program that implements sleep sort. Have it accept non-negative integers on the command line and print the integers in sorted order. If this is not idomatic in your language or environment, input and output may be done differently. Enhancements for optimization, generalization, practicality, robustness, and so on are not required.
Sleep sort was presented anonymously on 4chan and has been discussed on Hacker News.
| #Wren | Wren | import "timer" for Timer
import "io" for Stdout
import "os" for Process
var args = Process.arguments
var n = args.count
if (n < 2) Fiber.abort("There must be at least two arguments passed.")
var list = args.map{ |a| Num.fromString(a) }.toList
if (list.any { |i| i == null || !i.isInteger || i < 0 } ) {
Fiber.abort("All arguments must be non-negative integers.")
}
var max = list.reduce { |acc, i| acc = (i > acc) ? i : acc }
var fibers = List.filled(max+1, null)
System.print("Before: %(list.join(" "))")
for (i in list) {
var sleepSort = Fiber.new { |i|
Timer.sleep(1000)
Fiber.yield(i)
}
fibers[i] = sleepSort
}
System.write("After : ")
for (i in 0..max) {
var fib = fibers[i]
if (fib) {
System.write("%(fib.call(i)) ")
Stdout.flush()
}
}
System.print() |
http://rosettacode.org/wiki/Sorting_algorithms/Selection_sort | Sorting algorithms/Selection sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of elements using the Selection sort algorithm.
It works as follows:
First find the smallest element in the array and exchange it with the element in the first position, then find the second smallest element and exchange it with the element in the second position, and continue in this way until the entire array is sorted.
Its asymptotic complexity is O(n2) making it inefficient on large arrays.
Its primary purpose is for when writing data is very expensive (slow) when compared to reading, eg. writing to flash memory or EEPROM.
No other sorting algorithm has less data movement.
References
Rosetta Code: O (complexity).
Wikipedia: Selection sort.
Wikipedia: [Big O notation].
| #F.23 | F# |
let rec ssort = function
[] -> []
| x::xs ->
let min, rest =
List.fold (fun (min,acc) x ->
if h<min then (h, min::acc)
else (min, h::acc))
(x, []) xs
in min::ssort rest
|
http://rosettacode.org/wiki/Soundex | Soundex | Soundex is an algorithm for creating indices for words based on their pronunciation.
Task
The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling (from the soundex Wikipedia article).
Caution
There is a major issue in many of the implementations concerning the separation of two consonants that have the same soundex code! According to the official Rules [[1]]. So check for instance if Ashcraft is coded to A-261.
If a vowel (A, E, I, O, U) separates two consonants that have the same soundex code, the consonant to the right of the vowel is coded. Tymczak is coded as T-522 (T, 5 for the M, 2 for the C, Z ignored (see "Side-by-Side" rule above), 2 for the K). Since the vowel "A" separates the Z and K, the K is coded.
If "H" or "W" separate two consonants that have the same soundex code, the consonant to the right of the vowel is not coded. Example: Ashcraft is coded A-261 (A, 2 for the S, C ignored, 6 for the R, 1 for the F). It is not coded A-226.
| #Go | Go | package main
import (
"errors"
"fmt"
"unicode"
)
var code = []byte("01230127022455012623017202")
func soundex(s string) (string, error) {
var sx [4]byte
var sxi int
var cx, lastCode byte
for i, c := range s {
switch {
case !unicode.IsLetter(c):
if c < ' ' || c == 127 {
return "", errors.New("ASCII control characters disallowed")
}
if i == 0 {
return "", errors.New("initial character must be a letter")
}
lastCode = '0'
continue
case c >= 'A' && c <= 'Z':
cx = byte(c - 'A')
case c >= 'a' && c <= 'z':
cx = byte(c - 'a')
default:
return "", errors.New("non-ASCII letters unsupported")
}
// cx is valid letter index at this point
if i == 0 {
sx[0] = cx + 'A'
sxi = 1
continue
}
switch x := code[cx]; x {
case '7', lastCode:
case '0':
lastCode = '0'
default:
sx[sxi] = x
if sxi == 3 {
return string(sx[:]), nil
}
sxi++
lastCode = x
}
}
if sxi == 0 {
return "", errors.New("no letters present")
}
for ; sxi < 4; sxi++ {
sx[sxi] = '0'
}
return string(sx[:]), nil
}
func main() {
for _, s := range []string{
"Robert", // WP test case = R163
"Rupert", // WP test case = R163
"Rubin", // WP test case = R150
"ashcroft", // WP test case = A261
"ashcraft", // s and c combine across h, t not needed
"moses", // s's don't combine across e
"O'Mally", // apostrophe allowed, adjacent ll's combine
"d jay", // spaces allowed
"R2-D2", // digits, hyphen allowed
"12p2", // just not in leading position
"naïve", // non ASCII disallowed
"", // empty string disallowed
"bump\t", // ASCII control characters disallowed
} {
if x, err := soundex(s); err == nil {
fmt.Println("soundex", s, "=", x)
} else {
fmt.Printf("\"%s\" fail. %s\n", s, err)
}
}
} |
http://rosettacode.org/wiki/Sorting_algorithms/Shell_sort | Sorting algorithms/Shell sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of elements using the Shell sort algorithm, a diminishing increment sort.
The Shell sort (also known as Shellsort or Shell's method) is named after its inventor, Donald Shell, who published the algorithm in 1959.
Shell sort is a sequence of interleaved insertion sorts based on an increment sequence.
The increment size is reduced after each pass until the increment size is 1.
With an increment size of 1, the sort is a basic insertion sort, but by this time the data is guaranteed to be almost sorted, which is insertion sort's "best case".
Any sequence will sort the data as long as it ends in 1, but some work better than others.
Empirical studies have shown a geometric increment sequence with a ratio of about 2.2 work well in practice.
[1]
Other good sequences are found at the On-Line Encyclopedia of Integer Sequences.
| #M2000_Interpreter | M2000 Interpreter |
Module ShellSortExample {
Module shellsort(&a()) {
DEf h%, i%, j%, k, n%
n%=LEN(a())
h% = n%
WHILE h% {
IF h% = 2 THEN {h% = 1 }ELSE h%= h% DIV 2.2
FOR i% = h% TO n% - 1
k = a(i%)
j% = i%
WHILE j% >= h% AND k < a(ABS(j% - h%)) {
a(j%) = a(j% - h%)
j% -= h%
}
a(j%) = k
NEXT i%
}
}
Dim numbers(10)
numbers(0)=4, 65, 2, -31, 0, 99, 2, 83, 782, 1
shellsort &numbers()
Print numbers()
}
ShellSortExample
|
http://rosettacode.org/wiki/Sorting_algorithms/Shell_sort | Sorting algorithms/Shell sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of elements using the Shell sort algorithm, a diminishing increment sort.
The Shell sort (also known as Shellsort or Shell's method) is named after its inventor, Donald Shell, who published the algorithm in 1959.
Shell sort is a sequence of interleaved insertion sorts based on an increment sequence.
The increment size is reduced after each pass until the increment size is 1.
With an increment size of 1, the sort is a basic insertion sort, but by this time the data is guaranteed to be almost sorted, which is insertion sort's "best case".
Any sequence will sort the data as long as it ends in 1, but some work better than others.
Empirical studies have shown a geometric increment sequence with a ratio of about 2.2 work well in practice.
[1]
Other good sequences are found at the On-Line Encyclopedia of Integer Sequences.
| #Maple | Maple | shellsort := proc(arr)
local n, gap, i, val, j;
n := numelems(arr):
gap := trunc(n/2):
while (gap > 0) do #notice by 1 error
for i from gap to n by 1 do
val := arr[i];
j := i;
while (j > gap and arr[j-gap] > val) do
arr[j] := arr[j-gap];
j -= gap;
end do;
arr[j] := val;
end do;
gap := trunc(gap/2);
end do;
end proc;
arr := Array([17,3,72,0,36,2,3,8,40,0]);
shellsort(arr);
arr; |
http://rosettacode.org/wiki/Stable_marriage_problem | Stable marriage problem | Solve the Stable marriage problem using the Gale/Shapley algorithm.
Problem description
Given an equal number of men and women to be paired for marriage, each man ranks all the women in order of his preference and each woman ranks all the men in order of her preference.
A stable set of engagements for marriage is one where no man prefers a woman over the one he is engaged to, where that other woman also prefers that man over the one she is engaged to. I.e. with consulting marriages, there would be no reason for the engagements between the people to change.
Gale and Shapley proved that there is a stable set of engagements for any set of preferences and the first link above gives their algorithm for finding a set of stable engagements.
Task Specifics
Given ten males:
abe, bob, col, dan, ed, fred, gav, hal, ian, jon
And ten females:
abi, bea, cath, dee, eve, fay, gay, hope, ivy, jan
And a complete list of ranked preferences, where the most liked is to the left:
abe: abi, eve, cath, ivy, jan, dee, fay, bea, hope, gay
bob: cath, hope, abi, dee, eve, fay, bea, jan, ivy, gay
col: hope, eve, abi, dee, bea, fay, ivy, gay, cath, jan
dan: ivy, fay, dee, gay, hope, eve, jan, bea, cath, abi
ed: jan, dee, bea, cath, fay, eve, abi, ivy, hope, gay
fred: bea, abi, dee, gay, eve, ivy, cath, jan, hope, fay
gav: gay, eve, ivy, bea, cath, abi, dee, hope, jan, fay
hal: abi, eve, hope, fay, ivy, cath, jan, bea, gay, dee
ian: hope, cath, dee, gay, bea, abi, fay, ivy, jan, eve
jon: abi, fay, jan, gay, eve, bea, dee, cath, ivy, hope
abi: bob, fred, jon, gav, ian, abe, dan, ed, col, hal
bea: bob, abe, col, fred, gav, dan, ian, ed, jon, hal
cath: fred, bob, ed, gav, hal, col, ian, abe, dan, jon
dee: fred, jon, col, abe, ian, hal, gav, dan, bob, ed
eve: jon, hal, fred, dan, abe, gav, col, ed, ian, bob
fay: bob, abe, ed, ian, jon, dan, fred, gav, col, hal
gay: jon, gav, hal, fred, bob, abe, col, ed, dan, ian
hope: gav, jon, bob, abe, ian, dan, hal, ed, col, fred
ivy: ian, col, hal, gav, fred, bob, abe, ed, jon, dan
jan: ed, hal, gav, abe, bob, jon, col, ian, fred, dan
Use the Gale Shapley algorithm to find a stable set of engagements
Perturb this set of engagements to form an unstable set of engagements then check this new set for stability.
References
The Stable Marriage Problem. (Eloquent description and background information).
Gale-Shapley Algorithm Demonstration.
Another Gale-Shapley Algorithm Demonstration.
Stable Marriage Problem - Numberphile (Video).
Stable Marriage Problem (the math bit) (Video).
The Stable Marriage Problem and School Choice. (Excellent exposition)
| #zkl | zkl | var
Boys=Dictionary(
"abe", "abi eve cath ivy jan dee fay bea hope gay".split(),
"bob", "cath hope abi dee eve fay bea jan ivy gay".split(),
"col", "hope eve abi dee bea fay ivy gay cath jan".split(),
"dan", "ivy fay dee gay hope eve jan bea cath abi".split(),
"ed", "jan dee bea cath fay eve abi ivy hope gay".split(),
"fred","bea abi dee gay eve ivy cath jan hope fay".split(),
"gav", "gay eve ivy bea cath abi dee hope jan fay".split(),
"hal", "abi eve hope fay ivy cath jan bea gay dee".split(),
"ian", "hope cath dee gay bea abi fay ivy jan eve".split(),
"jon", "abi fay jan gay eve bea dee cath ivy hope".split(), ),
Girls=Dictionary(
"abi", "bob fred jon gav ian abe dan ed col hal".split(),
"bea", "bob abe col fred gav dan ian ed jon hal".split(),
"cath","fred bob ed gav hal col ian abe dan jon".split(),
"dee", "fred jon col abe ian hal gav dan bob ed".split(),
"eve", "jon hal fred dan abe gav col ed ian bob".split(),
"fay", "bob abe ed ian jon dan fred gav col hal".split(),
"gay", "jon gav hal fred bob abe col ed dan ian".split(),
"hope","gav jon bob abe ian dan hal ed col fred".split(),
"ivy", "ian col hal gav fred bob abe ed jon dan".split(),
"jan", "ed hal gav abe bob jon col ian fred dan".split(), ),
Couples=List(); // ( (boy,girl),(boy,girl),...)
Boyz:=Boys.pump(Dictionary(),fcn([(b,gs)]){ return(b,gs.copy()) }); // make writable copy
while( bgs:=Boyz.filter1( 'wrap([(Boy,gs)]){ // while unattached boy
gs and (not Couples.filter1("holds",Boy))
}) )
{
Boy,Girl:=bgs; Girl=Girl.pop(0);
Pair:=Couples.filter1("holds",Girl); // is Girl part of a couple?
if(not Pair) Couples.append(List(Boy,Girl)); # no, Girl was free
else{ // yes, Girl is engaged to Pair[0]
bsf,nBoy,nB:=Girls[Girl].index, bsf(Boy),bsf(Pair[0]);
if(nBoy<nB) Pair[0]=Boy; # Girl prefers Boy, change Couples
}
}
foreach Boy,Girl in (Couples){ println(Girl," is engaged to ",Boy) }
fcn checkCouples(Couples){
Couples.filter(fcn([(Boy,Girl)]){
Girls[Girl].filter1('wrap(B){
// is B before Boy in Girls preferences?
bsf,nBoy,nB:=Girls[Girl].index, bsf(Boy),bsf(B);
// Does B prefer Girl (over his partner)?
_,G:=Couples.filter1("holds",B); // (B,G)
gsf,nGirl,nG:=Boys[B].index, gsf(Girl),gsf(G);
( nB<nBoy and nGirl<nG and
println(Girl," likes ",B," better than ",Boy," and ",
B," likes ",Girl," better than ",G) )
})
}) or println("All marriages are stable");
}
checkCouples(Couples);
println();
println("Engage fred with abi and jon with bea");
Couples.filter1("holds","fred")[1]="abi";
Couples.filter1("holds","jon") [1]="bea";
checkCouples(Couples); |
http://rosettacode.org/wiki/Stack | Stack |
Data Structure
This illustrates a data structure, a means of storing data within a program.
You may see other such structures in the Data Structures category.
A stack is a container of elements with last in, first out access policy. Sometimes it also called LIFO.
The stack is accessed through its top.
The basic stack operations are:
push stores a new element onto the stack top;
pop returns the last pushed stack element, while removing it from the stack;
empty tests if the stack contains no elements.
Sometimes the last pushed stack element is made accessible for immutable access (for read) or mutable access (for write):
top (sometimes called peek to keep with the p theme) returns the topmost element without modifying the stack.
Stacks allow a very simple hardware implementation.
They are common in almost all processors.
In programming, stacks are also very popular for their way (LIFO) of resource management, usually memory.
Nested scopes of language objects are naturally implemented by a stack (sometimes by multiple stacks).
This is a classical way to implement local variables of a re-entrant or recursive subprogram. Stacks are also used to describe a formal computational framework.
See stack machine.
Many algorithms in pattern matching, compiler construction (e.g. recursive descent parsers), and machine learning (e.g. based on tree traversal) have a natural representation in terms of stacks.
Task
Create a stack supporting the basic operations: push, pop, empty.
See also
Array
Associative array: Creation, Iteration
Collections
Compound data type
Doubly-linked list: Definition, Element definition, Element insertion, List Traversal, Element Removal
Linked list
Queue: Definition, Usage
Set
Singly-linked list: Element definition, Element insertion, List Traversal, Element Removal
Stack
| #M2000_Interpreter | M2000 Interpreter |
Module Checkit {
a=Stack
Stack a {
Push 100, 200, 300
}
Print StackItem(a, 1)=300
Stack a {
Print StackItem(1)=300
While not empty {
Read N
Print N
}
}
}
Checkit
|
http://rosettacode.org/wiki/Spiral_matrix | Spiral matrix | Task
Produce a spiral array.
A spiral array is a square arrangement of the first N2 natural numbers, where the
numbers increase sequentially as you go around the edges of the array spiraling inwards.
For example, given 5, produce this array:
0 1 2 3 4
15 16 17 18 5
14 23 24 19 6
13 22 21 20 7
12 11 10 9 8
Related tasks
Zig-zag matrix
Identity_matrix
Ulam_spiral_(for_primes)
| #OCaml | OCaml | let next_dir = function
| 1, 0 -> 0, -1
| 0, 1 -> 1, 0
| -1, 0 -> 0, 1
| 0, -1 -> -1, 0
| _ -> assert false
let next_pos ~pos:(x,y) ~dir:(nx,ny) = (x+nx, y+ny)
let next_cell ar ~pos:(x,y) ~dir:(nx,ny) =
try ar.(x+nx).(y+ny)
with _ -> -2
let for_loop n init fn =
let rec aux i v =
if i < n then aux (i+1) (fn i v)
in
aux 0 init
let spiral ~n =
let ar = Array.make_matrix n n (-1) in
let pos = 0, 0 in
let dir = 0, 1 in
let set (x, y) i = ar.(x).(y) <- i in
let step (pos, dir) =
match next_cell ar pos dir with
| -1 -> (next_pos pos dir, dir)
| _ -> let dir = next_dir dir in (next_pos pos dir, dir)
in
for_loop (n*n) (pos, dir)
(fun i (pos, dir) -> set pos i; step (pos, dir));
(ar)
let print =
Array.iter (fun line ->
Array.iter (Printf.printf " %2d") line;
print_newline())
let () = print(spiral 5) |
http://rosettacode.org/wiki/Sorting_algorithms/Radix_sort | Sorting algorithms/Radix sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an integer array with the radix sort algorithm.
The primary purpose is to complete the characterization of sort algorithms task.
| #Phix | Phix | with javascript_semantics
function radixSortn(sequence s, integer n)
sequence buckets = repeat({},10),
res = {}
for i=1 to length(s) do
integer digit = remainder(floor(s[i]/power(10,n-1)),10)+1
buckets[digit] = append(buckets[digit],s[i])
end for
for i=1 to length(buckets) do
integer len = length(buckets[i])
if len!=0 then
if len=1 or n=1 then
res &= buckets[i]
else
res &= radixSortn(buckets[i],n-1)
end if
end if
end for
return res
end function
function split_by_sign(sequence s)
sequence buckets = {{},{}}
for i=1 to length(s) do
integer si = s[i]
if si<0 then
buckets[1] = append(buckets[1],-si)
else
buckets[2] = append(buckets[2],si)
end if
end for
return buckets
end function
function radixSort(sequence s)
integer mins = min(s),
passes = max(max(s),abs(mins))
passes = floor(log10(passes))+1
if mins<0 then
sequence buckets = split_by_sign(s)
s = reverse(sq_uminus(radixSortn(buckets[1],passes)))
& radixSortn(buckets[2],passes)
else
s = radixSortn(s,passes)
end if
return s
end function
?radixSort({1, 3, 8, 9, 0, 0, 8, 7, 1, 6})
?radixSort({170, 45, 75, 90, 2, 24, 802, 66})
?radixSort({170, 45, 75, 90, 2, 24, -802, -66})
?radixSort({100000, -10000, 400, 23, 10000})
|
http://rosettacode.org/wiki/Sorting_algorithms/Quicksort | Sorting algorithms/Quicksort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Quicksort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Task
Sort an array (or list) elements using the quicksort algorithm.
The elements must have a strict weak order and the index of the array can be of any discrete type.
For languages where this is not possible, sort an array of integers.
Quicksort, also known as partition-exchange sort, uses these steps.
Choose any element of the array to be the pivot.
Divide all other elements (except the pivot) into two partitions.
All elements less than the pivot must be in the first partition.
All elements greater than the pivot must be in the second partition.
Use recursion to sort both partitions.
Join the first sorted partition, the pivot, and the second sorted partition.
The best pivot creates partitions of equal length (or lengths differing by 1).
The worst pivot creates an empty partition (for example, if the pivot is the first or last element of a sorted array).
The run-time of Quicksort ranges from O(n log n) with the best pivots, to O(n2) with the worst pivots, where n is the number of elements in the array.
This is a simple quicksort algorithm, adapted from Wikipedia.
function quicksort(array)
less, equal, greater := three empty arrays
if length(array) > 1
pivot := select any element of array
for each x in array
if x < pivot then add x to less
if x = pivot then add x to equal
if x > pivot then add x to greater
quicksort(less)
quicksort(greater)
array := concatenate(less, equal, greater)
A better quicksort algorithm works in place, by swapping elements within the array, to avoid the memory allocation of more arrays.
function quicksort(array)
if length(array) > 1
pivot := select any element of array
left := first index of array
right := last index of array
while left ≤ right
while array[left] < pivot
left := left + 1
while array[right] > pivot
right := right - 1
if left ≤ right
swap array[left] with array[right]
left := left + 1
right := right - 1
quicksort(array from first index to right)
quicksort(array from left to last index)
Quicksort has a reputation as the fastest sort. Optimized variants of quicksort are common features of many languages and libraries. One often contrasts quicksort with merge sort, because both sorts have an average time of O(n log n).
"On average, mergesort does fewer comparisons than quicksort, so it may be better when complicated comparison routines are used. Mergesort also takes advantage of pre-existing order, so it would be favored for using sort() to merge several sorted arrays. On the other hand, quicksort is often faster for small arrays, and on arrays of a few distinct values, repeated many times." — http://perldoc.perl.org/sort.html
Quicksort is at one end of the spectrum of divide-and-conquer algorithms, with merge sort at the opposite end.
Quicksort is a conquer-then-divide algorithm, which does most of the work during the partitioning and the recursive calls. The subsequent reassembly of the sorted partitions involves trivial effort.
Merge sort is a divide-then-conquer algorithm. The partioning happens in a trivial way, by splitting the input array in half. Most of the work happens during the recursive calls and the merge phase.
With quicksort, every element in the first partition is less than or equal to every element in the second partition. Therefore, the merge phase of quicksort is so trivial that it needs no mention!
This task has not specified whether to allocate new arrays, or sort in place. This task also has not specified how to choose the pivot element. (Common ways to are to choose the first element, the middle element, or the median of three elements.) Thus there is a variety among the following implementations.
| #BASIC | BASIC | DECLARE SUB quicksort (arr() AS INTEGER, leftN AS INTEGER, rightN AS INTEGER)
DIM q(99) AS INTEGER
DIM n AS INTEGER
RANDOMIZE TIMER
FOR n = 0 TO 99
q(n) = INT(RND * 9999)
NEXT
OPEN "output.txt" FOR OUTPUT AS 1
FOR n = 0 TO 99
PRINT #1, q(n),
NEXT
PRINT #1,
quicksort q(), 0, 99
FOR n = 0 TO 99
PRINT #1, q(n),
NEXT
CLOSE
SUB quicksort (arr() AS INTEGER, leftN AS INTEGER, rightN AS INTEGER)
DIM pivot AS INTEGER, leftNIdx AS INTEGER, rightNIdx AS INTEGER
leftNIdx = leftN
rightNIdx = rightN
IF (rightN - leftN) > 0 THEN
pivot = (leftN + rightN) / 2
WHILE (leftNIdx <= pivot) AND (rightNIdx >= pivot)
WHILE (arr(leftNIdx) < arr(pivot)) AND (leftNIdx <= pivot)
leftNIdx = leftNIdx + 1
WEND
WHILE (arr(rightNIdx) > arr(pivot)) AND (rightNIdx >= pivot)
rightNIdx = rightNIdx - 1
WEND
SWAP arr(leftNIdx), arr(rightNIdx)
leftNIdx = leftNIdx + 1
rightNIdx = rightNIdx - 1
IF (leftNIdx - 1) = pivot THEN
rightNIdx = rightNIdx + 1
pivot = rightNIdx
ELSEIF (rightNIdx + 1) = pivot THEN
leftNIdx = leftNIdx - 1
pivot = leftNIdx
END IF
WEND
quicksort arr(), leftN, pivot - 1
quicksort arr(), pivot + 1, rightN
END IF
END SUB |
http://rosettacode.org/wiki/Sorting_algorithms/Patience_sort | Sorting algorithms/Patience sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Sort an array of numbers (of any convenient size) into ascending order using Patience sorting.
Related task
Longest increasing subsequence
| #Julia | Julia | function patiencesort(list::Vector{T}) where T
piles = Vector{Vector{T}}()
for n in list
if isempty(piles) ||
(i = findfirst(pile -> n <= pile[end], piles)) == nothing
push!(piles, [n])
else
push!(piles[i], n)
end
end
mergesorted(piles)
end
function mergesorted(vecvec)
lengths = map(length, vecvec)
allsum = sum(lengths)
sorted = similar(vecvec[1], allsum)
for i in 1:allsum
(val, idx) = findmin(map(x -> x[end], vecvec))
sorted[i] = pop!(vecvec[idx])
if isempty(vecvec[idx])
deleteat!(vecvec, idx)
end
end
sorted
end
println(patiencesort(rand(collect(1:1000), 12)))
|
http://rosettacode.org/wiki/Sorting_algorithms/Insertion_sort | Sorting algorithms/Insertion sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Insertion sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
An O(n2) sorting algorithm which moves elements one at a time into the correct position.
The algorithm consists of inserting one element at a time into the previously sorted part of the array, moving higher ranked elements up as necessary.
To start off, the first (or smallest, or any arbitrary) element of the unsorted array is considered to be the sorted part.
Although insertion sort is an O(n2) algorithm, its simplicity, low overhead, good locality of reference and efficiency make it a good choice in two cases:
small n,
as the final finishing-off algorithm for O(n logn) algorithms such as mergesort and quicksort.
The algorithm is as follows (from wikipedia):
function insertionSort(array A)
for i from 1 to length[A]-1 do
value := A[i]
j := i-1
while j >= 0 and A[j] > value do
A[j+1] := A[j]
j := j-1
done
A[j+1] = value
done
Writing the algorithm for integers will suffice.
| #Arturo | Arturo | insertionSort: function [items][
arr: new items
loop 1..(size items)-1 'i [
value: arr\[i]
j: i - 1
while [and? -> j >= 0
-> value < arr\[j]]
[
arr\[j+1]: arr\[j]
j: j - 1
]
arr\[j+1]: value
]
return arr
]
print insertionSort [3 1 2 8 5 7 9 4 6] |
http://rosettacode.org/wiki/Sorting_algorithms/Permutation_sort | Sorting algorithms/Permutation sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a permutation sort, which proceeds by generating the possible permutations
of the input array/list until discovering the sorted one.
Pseudocode:
while not InOrder(list) do
nextPermutation(list)
done
| #Prolog | Prolog | permutation_sort(L,S) :- permutation(L,S), sorted(S).
sorted([]).
sorted([_]).
sorted([X,Y|ZS]) :- X =< Y, sorted([Y|ZS]).
permutation([],[]).
permutation([X|XS],YS) :- permutation(XS,ZS), select(X,YS,ZS). |
http://rosettacode.org/wiki/Sorting_algorithms/Permutation_sort | Sorting algorithms/Permutation sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a permutation sort, which proceeds by generating the possible permutations
of the input array/list until discovering the sorted one.
Pseudocode:
while not InOrder(list) do
nextPermutation(list)
done
| #PureBasic | PureBasic | Macro reverse(firstIndex, lastIndex)
first = firstIndex
last = lastIndex
While first < last
Swap cur(first), cur(last)
first + 1
last - 1
Wend
EndMacro
Procedure nextPermutation(Array cur(1))
Protected first, last, elementCount = ArraySize(cur())
If elementCount < 2
ProcedureReturn #False ;nothing to permute
EndIf
;Find the lowest position pos such that [pos] < [pos+1]
Protected pos = elementCount - 1
While cur(pos) >= cur(pos + 1)
pos - 1
If pos < 0
reverse(0, elementCount)
ProcedureReturn #False ;no higher lexicographic permutations left, return lowest one instead
EndIf
Wend
;Swap [pos] with the highest positional value that is larger than [pos]
last = elementCount
While cur(last) <= cur(pos)
last - 1
Wend
Swap cur(pos), cur(last)
;Reverse the order of the elements in the higher positions
reverse(pos + 1, elementCount)
ProcedureReturn #True ;next lexicographic permutation found
EndProcedure
Procedure display(Array a(1))
Protected i, fin = ArraySize(a())
For i = 0 To fin
Print(Str(a(i)))
If i = fin: Continue: EndIf
Print(", ")
Next
PrintN("")
EndProcedure
If OpenConsole()
Dim a(9)
a(0) = 8: a(1) = 3: a(2) = 10: a(3) = 6: a(4) = 1: a(5) = 9: a(6) = 7: a(7) = -4: a(8) = 5: a(9) = 3
display(a())
While nextPermutation(a()): Wend
display(a())
Print(#CRLF$ + #CRLF$ + "Press ENTER to exit"): Input()
CloseConsole()
EndIf |
http://rosettacode.org/wiki/Sorting_algorithms/Heapsort | Sorting algorithms/Heapsort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Heapsort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Heapsort is an in-place sorting algorithm with worst case and average complexity of O(n logn).
The basic idea is to turn the array into a binary heap structure, which has the property that it allows efficient retrieval and removal of the maximal element.
We repeatedly "remove" the maximal element from the heap, thus building the sorted list from back to front.
A heap sort requires random access, so can only be used on an array-like data structure.
Pseudocode:
function heapSort(a, count) is
input: an unordered array a of length count
(first place a in max-heap order)
heapify(a, count)
end := count - 1
while end > 0 do
(swap the root(maximum value) of the heap with the
last element of the heap)
swap(a[end], a[0])
(decrement the size of the heap so that the previous
max value will stay in its proper place)
end := end - 1
(put the heap back in max-heap order)
siftDown(a, 0, end)
function heapify(a,count) is
(start is assigned the index in a of the last parent node)
start := (count - 2) / 2
while start ≥ 0 do
(sift down the node at index start to the proper place
such that all nodes below the start index are in heap
order)
siftDown(a, start, count-1)
start := start - 1
(after sifting down the root all nodes/elements are in heap order)
function siftDown(a, start, end) is
(end represents the limit of how far down the heap to sift)
root := start
while root * 2 + 1 ≤ end do (While the root has at least one child)
child := root * 2 + 1 (root*2+1 points to the left child)
(If the child has a sibling and the child's value is less than its sibling's...)
if child + 1 ≤ end and a[child] < a[child + 1] then
child := child + 1 (... then point to the right child instead)
if a[root] < a[child] then (out of max-heap order)
swap(a[root], a[child])
root := child (repeat to continue sifting down the child now)
else
return
Write a function to sort a collection of integers using heapsort.
| #360_Assembly | 360 Assembly | * Heap sort 22/06/2016
HEAPS CSECT
USING HEAPS,R13 base register
B 72(R15) skip savearea
DC 17F'0' savearea
STM R14,R12,12(R13) prolog
ST R13,4(R15) "
ST R15,8(R13) "
LR R13,R15 "
L R1,N n
BAL R14,HEAPSORT call heapsort(n)
LA R3,PG pgi=0
LA R6,1 i=1
DO WHILE=(C,R6,LE,N) for i=1 to n
LR R1,R6 i
SLA R1,2 .
L R2,A-4(R1) a(i)
XDECO R2,XDEC edit a(i)
MVC 0(4,R3),XDEC+8 output a(i)
LA R3,4(R3) pgi=pgi+4
LA R6,1(R6) i=i+1
ENDDO , end for
XPRNT PG,80 print buffer
L R13,4(0,R13) epilog
LM R14,R12,12(R13) "
XR R15,R15 "
BR R14 exit
PG DC CL80' ' local data
XDEC DS CL12 "
*------- heapsort(icount)----------------------------------------------
HEAPSORT ST R14,SAVEHPSR save return addr
ST R1,ICOUNT icount
BAL R14,HEAPIFY call heapify(icount)
MVC IEND,ICOUNT iend=icount
DO WHILE=(CLC,IEND,GT,=F'1') while iend>1
L R1,IEND iend
LA R2,1 1
BAL R14,SWAP call swap(iend,1)
LA R1,1 1
L R2,IEND iend
BCTR R2,0 -1
ST R2,IEND iend=iend-1
BAL R14,SIFTDOWN call siftdown(1,iend)
ENDDO , end while
L R14,SAVEHPSR restore return addr
BR R14 return to caller
SAVEHPSR DS A local data
ICOUNT DS F "
IEND DS F "
*------- heapify(count)------------------------------------------------
HEAPIFY ST R14,SAVEHPFY save return addr
ST R1,COUNT count
SRA R1,1 /2
ST R1,ISTART istart=count/2
DO WHILE=(C,R1,GE,=F'1') while istart>=1
L R1,ISTART istart
L R2,COUNT count
BAL R14,SIFTDOWN call siftdown(istart,count)
L R1,ISTART istart
BCTR R1,0 -1
ST R1,ISTART istart=istart-1
ENDDO , end while
L R14,SAVEHPFY restore return addr
BR R14 return to caller
SAVEHPFY DS A local data
COUNT DS F "
ISTART DS F "
*------- siftdown(jstart,jend)-----------------------------------------
SIFTDOWN ST R14,SAVESFDW save return addr
ST R1,JSTART jstart
ST R2,JEND jend
ST R1,ROOT root=jstart
LR R3,R1 root
SLA R3,1 root*2
DO WHILE=(C,R3,LE,JEND) while root*2<=jend
ST R3,CHILD child=root*2
MVC SW,ROOT sw=root
L R1,SW sw
SLA R1,2 .
L R2,A-4(R1) a(sw)
L R1,CHILD child
SLA R1,2 .
L R3,A-4(R1) a(child)
IF CR,R2,LT,R3 THEN if a(sw)<a(child) then
MVC SW,CHILD sw=child
ENDIF , end if
L R2,CHILD child
LA R2,1(R2) +1
L R1,SW sw
SLA R1,2 .
L R3,A-4(R1) a(sw)
L R1,CHILD child
LA R1,1(R1) +1
SLA R1,2 .
L R4,A-4(R1) a(child+1)
IF C,R2,LE,JEND,AND, if child+1<=jend and X
CR,R3,LT,R4 THEN a(sw)<a(child+1) then
L R2,CHILD child
LA R2,1(R2) +1
ST R2,SW sw=child+1
ENDIF , end if
IF CLC,SW,NE,ROOT THEN if sw^=root then
L R1,ROOT root
L R2,SW sw
BAL R14,SWAP call swap(root,sw)
MVC ROOT,SW root=sw
ELSE , else
B RETSFDW return
ENDIF , end if
L R3,ROOT root
SLA R3,1 root*2
ENDDO , end while
RETSFDW L R14,SAVESFDW restore return addr
BR R14 return to caller
SAVESFDW DS A local data
JSTART DS F "
ROOT DS F "
JEND DS F "
CHILD DS F "
SW DS F "
*------- swap(x,y)-----------------------------------------------------
SWAP SLA R1,2 x
LA R1,A-4(R1) @a(x)
SLA R2,2 y
LA R2,A-4(R2) @a(y)
L R3,0(R1) temp=a(x)
MVC 0(4,R1),0(R2) a(x)=a(y)
ST R3,0(R2) a(y)=temp
BR R14 return to caller
*------- ------ -------------------------------------------------------
A DC F'4',F'65',F'2',F'-31',F'0',F'99',F'2',F'83',F'782',F'1'
DC F'45',F'82',F'69',F'82',F'104',F'58',F'88',F'112',F'89',F'74'
N DC A((N-A)/L'A) number of items
YREGS
END HEAPS |
http://rosettacode.org/wiki/Sorting_algorithms/Merge_sort | Sorting algorithms/Merge sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
The merge sort is a recursive sort of order n*log(n).
It is notable for having a worst case and average complexity of O(n*log(n)), and a best case complexity of O(n) (for pre-sorted input).
The basic idea is to split the collection into smaller groups by halving it until the groups only have one element or no elements (which are both entirely sorted groups).
Then merge the groups back together so that their elements are in order.
This is how the algorithm gets its divide and conquer description.
Task
Write a function to sort a collection of integers using the merge sort.
The merge sort algorithm comes in two parts:
a sort function and
a merge function
The functions in pseudocode look like this:
function mergesort(m)
var list left, right, result
if length(m) ≤ 1
return m
else
var middle = length(m) / 2
for each x in m up to middle - 1
add x to left
for each x in m at and after middle
add x to right
left = mergesort(left)
right = mergesort(right)
if last(left) ≤ first(right)
append right to left
return left
result = merge(left, right)
return result
function merge(left,right)
var list result
while length(left) > 0 and length(right) > 0
if first(left) ≤ first(right)
append first(left) to result
left = rest(left)
else
append first(right) to result
right = rest(right)
if length(left) > 0
append rest(left) to result
if length(right) > 0
append rest(right) to result
return result
See also
the Wikipedia entry: merge sort
Note: better performance can be expected if, rather than recursing until length(m) ≤ 1, an insertion sort is used for length(m) smaller than some threshold larger than 1. However, this complicates the example code, so it is not shown here.
| #AArch64_Assembly | AArch64 Assembly |
/* ARM assembly AARCH64 Raspberry PI 3B */
/* program mergeSort64.s */
/*******************************************/
/* Constantes file */
/*******************************************/
/* for this file see task include a file in language AArch64 assembly */
.include "../includeConstantesARM64.inc"
/*********************************/
/* Initialized data */
/*********************************/
.data
szMessSortOk: .asciz "Table sorted.\n"
szMessSortNok: .asciz "Table not sorted !!!!!.\n"
sMessResult: .asciz "Value : @ \n"
szCarriageReturn: .asciz "\n"
.align 4
TableNumber: .quad 1,3,11,6,2,5,9,10,8,4,7
#TableNumber: .quad 10,9,8,7,6,-5,4,3,2,1
.equ NBELEMENTS, (. - TableNumber) / 8
/*********************************/
/* UnInitialized data */
/*********************************/
.bss
sZoneConv: .skip 24
/*********************************/
/* code section */
/*********************************/
.text
.global main
main: // entry of program
ldr x0,qAdrTableNumber // address number table
mov x1,0 // first element
mov x2,NBELEMENTS // number of élements
bl mergeSort
ldr x0,qAdrTableNumber // address number table
bl displayTable
ldr x0,qAdrTableNumber // address number table
mov x1,NBELEMENTS // number of élements
bl isSorted // control sort
cmp x0,1 // sorted ?
beq 1f
ldr x0,qAdrszMessSortNok // no !! error sort
bl affichageMess
b 100f
1: // yes
ldr x0,qAdrszMessSortOk
bl affichageMess
100: // standard end of the program
mov x0,0 // return code
mov x8,EXIT // request to exit program
svc 0 // perform the system call
qAdrsZoneConv: .quad sZoneConv
qAdrszCarriageReturn: .quad szCarriageReturn
qAdrsMessResult: .quad sMessResult
qAdrTableNumber: .quad TableNumber
qAdrszMessSortOk: .quad szMessSortOk
qAdrszMessSortNok: .quad szMessSortNok
/******************************************************************/
/* control sorted table */
/******************************************************************/
/* x0 contains the address of table */
/* x1 contains the number of elements > 0 */
/* x0 return 0 if not sorted 1 if sorted */
isSorted:
stp x2,lr,[sp,-16]! // save registers
stp x3,x4,[sp,-16]! // save registers
mov x2,0
ldr x4,[x0,x2,lsl 3]
1:
add x2,x2,1
cmp x2,x1
bge 99f
ldr x3,[x0,x2, lsl 3]
cmp x3,x4
blt 98f
mov x4,x3
b 1b
98:
mov x0,0 // not sorted
b 100f
99:
mov x0,1 // sorted
100:
ldp x3,x4,[sp],16 // restaur 2 registers
ldp x2,lr,[sp],16 // restaur 2 registers
ret // return to address lr x30
/******************************************************************/
/* merge */
/******************************************************************/
/* r0 contains the address of table */
/* r1 contains first start index
/* r2 contains second start index */
/* r3 contains the last index */
merge:
stp x1,lr,[sp,-16]! // save registers
stp x2,x3,[sp,-16]! // save registers
stp x4,x5,[sp,-16]! // save registers
stp x6,x7,[sp,-16]! // save registers
str x8,[sp,-16]!
mov x5,x2 // init index x2->x5
1: // begin loop first section
ldr x6,[x0,x1,lsl 3] // load value first section index r1
ldr x7,[x0,x5,lsl 3] // load value second section index r5
cmp x6,x7
ble 4f // <= -> location first section OK
str x7,[x0,x1,lsl 3] // store value second section in first section
add x8,x5,1
cmp x8,x3 // end second section ?
ble 2f
str x6,[x0,x5,lsl 3]
b 4f // loop
2: // loop insert element part 1 into part 2
sub x4,x8,1
ldr x7,[x0,x8,lsl 3] // load value 2
cmp x6,x7 // value <
bge 3f
str x6,[x0,x4,lsl 3] // store value
b 4f // loop
3:
str x7,[x0,x4,lsl 3] // store value 2
add x8,x8,1
cmp x8,x3 // end second section ?
ble 2b // no loop
sub x8,x8,1
str x6,[x0,x8,lsl 3] // store value 1
4:
add x1,x1,1
cmp x1,x2 // end first section ?
blt 1b
100:
ldr x8,[sp],16 // restaur 1 register
ldp x6,x7,[sp],16 // restaur 2 registers
ldp x4,x5,[sp],16 // restaur 2 registers
ldp x2,x3,[sp],16 // restaur 2 registers
ldp x1,lr,[sp],16 // restaur 2 registers
ret // return to address lr x30
/******************************************************************/
/* merge sort */
/******************************************************************/
/* x0 contains the address of table */
/* x1 contains the index of first element */
/* x2 contains the number of element */
mergeSort:
stp x3,lr,[sp,-16]! // save registers
stp x4,x5,[sp,-16]! // save registers
stp x6,x7,[sp,-16]! // save registers
cmp x2,2 // end ?
blt 100f
lsr x4,x2,1 // number of element of each subset
add x5,x4,1
tst x2,#1 // odd ?
csel x4,x5,x4,ne
mov x5,x1 // save first element
mov x6,x2 // save number of element
mov x7,x4 // save number of element of each subset
mov x2,x4
bl mergeSort
mov x1,x7 // restaur number of element of each subset
mov x2,x6 // restaur number of element
sub x2,x2,x1
mov x3,x5 // restaur first element
add x1,x1,x3 // + 1
bl mergeSort // sort first subset
mov x1,x5 // restaur first element
mov x2,x7 // restaur number of element of each subset
add x2,x2,x1
mov x3,x6 // restaur number of element
add x3,x3,x1
sub x3,x3,1 // last index
bl merge
100:
ldp x6,x7,[sp],16 // restaur 2 registers
ldp x4,x5,[sp],16 // restaur 2 registers
ldp x3,lr,[sp],16 // restaur 2 registers
ret // return to address lr x30
/******************************************************************/
/* Display table elements */
/******************************************************************/
/* x0 contains the address of table */
displayTable:
stp x1,lr,[sp,-16]! // save registers
stp x2,x3,[sp,-16]! // save registers
mov x2,x0 // table address
mov x3,0
1: // loop display table
ldr x0,[x2,x3,lsl 3]
ldr x1,qAdrsZoneConv
bl conversion10S // décimal conversion
ldr x0,qAdrsMessResult
ldr x1,qAdrsZoneConv
bl strInsertAtCharInc // insert result at // character
bl affichageMess // display message
add x3,x3,1
cmp x3,NBELEMENTS - 1
ble 1b
ldr x0,qAdrszCarriageReturn
bl affichageMess
mov x0,x2
100:
ldp x2,x3,[sp],16 // restaur 2 registers
ldp x1,lr,[sp],16 // restaur 2 registers
ret // return to address lr x30
/********************************************************/
/* File Include fonctions */
/********************************************************/
/* for this file see task include a file in language AArch64 assembly */
.include "../includeARM64.inc"
|
http://rosettacode.org/wiki/Sorting_algorithms/Pancake_sort | Sorting algorithms/Pancake sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of integers (of any convenient size) into ascending order using Pancake sorting.
In short, instead of individual elements being sorted, the only operation allowed is to "flip" one end of the list, like so:
Before: 6 7 8 9 2 5 3 4 1
After: 9 8 7 6 2 5 3 4 1
Only one end of the list can be flipped; this should be the low end, but the high end is okay if it's easier to code or works better, but it must be the same end for the entire solution. (The end flipped can't be arbitrarily changed.)
Show both the initial, unsorted list and the final sorted list.
(Intermediate steps during sorting are optional.)
Optimizations are optional (but recommended).
Related tasks
Number reversal game
Topswops
Also see
Wikipedia article: pancake sorting.
| #Groovy | Groovy | def makeSwap = { a, i, j = i+1 -> print "."; a[[j,i]] = a[[i,j]] }
def flip = { list, n -> (0..<((n+1)/2)).each { makeSwap(list, it, n-it) } }
def pancakeSort = { list ->
def n = list.size()
(1..<n).reverse().each { i ->
def max = list[0..i].max()
def flipPoint = (i..0).find{ list[it] == max }
if (flipPoint != i) {
flip(list, flipPoint)
flip(list, i)
}
}
list
} |
http://rosettacode.org/wiki/Sorting_algorithms/Stooge_sort | Sorting algorithms/Stooge sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Stooge sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Task
Show the Stooge Sort for an array of integers.
The Stooge Sort algorithm is as follows:
algorithm stoogesort(array L, i = 0, j = length(L)-1)
if L[j] < L[i] then
L[i] ↔ L[j]
if j - i > 1 then
t := (j - i + 1)/3
stoogesort(L, i , j-t)
stoogesort(L, i+t, j )
stoogesort(L, i , j-t)
return L
| #PARI.2FGP | PARI/GP | stoogeSort(v)={
local(v=v); \\ Give children access to v
ss(1,#v); \\ Sort
v
}
ss(i,j)={
my(t);
if(v[j]<v[i],
t=v[i];
v[i]=v[j];
v[j]=t
);
if(j-i > 1,
t=(1+j-i)\3;
ss(i,j-t);
ss(i+t,j);
ss(i,j-t)
)
}; |
http://rosettacode.org/wiki/Sorting_algorithms/Sleep_sort | Sorting algorithms/Sleep sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
In general, sleep sort works by starting a separate task for each item to be sorted, where each task sleeps for an interval corresponding to the item's sort key, then emits the item. Items are then collected sequentially in time.
Task: Write a program that implements sleep sort. Have it accept non-negative integers on the command line and print the integers in sorted order. If this is not idomatic in your language or environment, input and output may be done differently. Enhancements for optimization, generalization, practicality, robustness, and so on are not required.
Sleep sort was presented anonymously on 4chan and has been discussed on Hacker News.
| #zkl | zkl | vm.arglist.apply(fcn(n){ Atomic.sleep(n); print(n) }.launch);
Atomic.waitFor(fcn{ vm.numThreads == 1 }); Atomic.sleep(2); println(); |
http://rosettacode.org/wiki/Sorting_algorithms/Selection_sort | Sorting algorithms/Selection sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of elements using the Selection sort algorithm.
It works as follows:
First find the smallest element in the array and exchange it with the element in the first position, then find the second smallest element and exchange it with the element in the second position, and continue in this way until the entire array is sorted.
Its asymptotic complexity is O(n2) making it inefficient on large arrays.
Its primary purpose is for when writing data is very expensive (slow) when compared to reading, eg. writing to flash memory or EEPROM.
No other sorting algorithm has less data movement.
References
Rosetta Code: O (complexity).
Wikipedia: Selection sort.
Wikipedia: [Big O notation].
| #Factor | Factor | USING: kernel math sequences sequences.extras ;
: select ( m n seq -- )
[ dup ] 2dip [ <slice> [ ] infimum-by* drop over + ]
[ exchange ] bi ;
: selection-sort! ( seq -- seq' )
[ ] [ length dup ] [ ] tri [ select ] 2curry each-integer ; |
http://rosettacode.org/wiki/Sorting_algorithms/Selection_sort | Sorting algorithms/Selection sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of elements using the Selection sort algorithm.
It works as follows:
First find the smallest element in the array and exchange it with the element in the first position, then find the second smallest element and exchange it with the element in the second position, and continue in this way until the entire array is sorted.
Its asymptotic complexity is O(n2) making it inefficient on large arrays.
Its primary purpose is for when writing data is very expensive (slow) when compared to reading, eg. writing to flash memory or EEPROM.
No other sorting algorithm has less data movement.
References
Rosetta Code: O (complexity).
Wikipedia: Selection sort.
Wikipedia: [Big O notation].
| #Forth | Forth | defer less? ' < is less?
: least ( start end -- least )
over cell+ do
i @ over @ less? if drop i then
cell +loop ;
: selection ( array len -- )
cells over + tuck ( end start end )
cell- swap do ( end )
i over least ( end least )
i @ over @ i ! swap !
cell +loop drop ;
create array 8 , 1 , 4 , 2 , 10 , 3 , 7 , 9 , 6 , 5 ,
array 10 selection
array 10 cells dump |
http://rosettacode.org/wiki/Soundex | Soundex | Soundex is an algorithm for creating indices for words based on their pronunciation.
Task
The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling (from the soundex Wikipedia article).
Caution
There is a major issue in many of the implementations concerning the separation of two consonants that have the same soundex code! According to the official Rules [[1]]. So check for instance if Ashcraft is coded to A-261.
If a vowel (A, E, I, O, U) separates two consonants that have the same soundex code, the consonant to the right of the vowel is coded. Tymczak is coded as T-522 (T, 5 for the M, 2 for the C, Z ignored (see "Side-by-Side" rule above), 2 for the K). Since the vowel "A" separates the Z and K, the K is coded.
If "H" or "W" separate two consonants that have the same soundex code, the consonant to the right of the vowel is not coded. Example: Ashcraft is coded A-261 (A, 2 for the S, C ignored, 6 for the R, 1 for the F). It is not coded A-226.
| #Groovy | Groovy |
def soundex(s) {
def code = ""
def lookup = [
B : 1, F : 1, P : 1, V : 1,
C : 2, G : 2, J : 2, K : 2, Q : 2, S : 2, X : 2, Z : 2,
D : 3, T : 3,
L : 4,
M : 5, N : 5,
R : 6
]
s[1..-1].toUpperCase().inject(7) { lastCode, letter ->
def letterCode = lookup[letter]
if(letterCode && letterCode != lastCode) {
code += letterCode
}
}
return "${s[0]}${code}0000"[0..3]
}
println(soundex("Soundex"))
println(soundex("Sownteks"))
println(soundex("Example"))
println(soundex("Ekzampul"))
|
http://rosettacode.org/wiki/Sorting_algorithms/Shell_sort | Sorting algorithms/Shell sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of elements using the Shell sort algorithm, a diminishing increment sort.
The Shell sort (also known as Shellsort or Shell's method) is named after its inventor, Donald Shell, who published the algorithm in 1959.
Shell sort is a sequence of interleaved insertion sorts based on an increment sequence.
The increment size is reduced after each pass until the increment size is 1.
With an increment size of 1, the sort is a basic insertion sort, but by this time the data is guaranteed to be almost sorted, which is insertion sort's "best case".
Any sequence will sort the data as long as it ends in 1, but some work better than others.
Empirical studies have shown a geometric increment sequence with a ratio of about 2.2 work well in practice.
[1]
Other good sequences are found at the On-Line Encyclopedia of Integer Sequences.
| #Mathematica.2FWolfram_Language | Mathematica/Wolfram Language | shellSort[ lst_ ] := Module[ {list = lst, incr, temp, i, j},
incr = Round[Length[list]/2];
While[incr > 0,
For[i = incr + 1, i <= Length[list], i++,
temp = list[[i]]; j = i;
While[(j >= (incr + 1)) && (list[[j - incr]] > temp) ,
list[[j]] = list[[j - incr]]; j = j-incr;
];
list[[j]] = temp;];
If[incr == 2, incr = 1, incr = Round[incr/2.2]]
]; list
] |
http://rosettacode.org/wiki/Sorting_algorithms/Shell_sort | Sorting algorithms/Shell sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of elements using the Shell sort algorithm, a diminishing increment sort.
The Shell sort (also known as Shellsort or Shell's method) is named after its inventor, Donald Shell, who published the algorithm in 1959.
Shell sort is a sequence of interleaved insertion sorts based on an increment sequence.
The increment size is reduced after each pass until the increment size is 1.
With an increment size of 1, the sort is a basic insertion sort, but by this time the data is guaranteed to be almost sorted, which is insertion sort's "best case".
Any sequence will sort the data as long as it ends in 1, but some work better than others.
Empirical studies have shown a geometric increment sequence with a ratio of about 2.2 work well in practice.
[1]
Other good sequences are found at the On-Line Encyclopedia of Integer Sequences.
| #MATLAB_.2F_Octave | MATLAB / Octave | function list = shellSort(list)
N = numel(list);
increment = round(N/2);
while increment > 0
for i = (increment+1:N)
temp = list(i);
j = i;
while (j >= increment+1) && (list(j-increment) > temp)
list(j) = list(j-increment);
j = j - increment;
end
list(j) = temp;
end %for
if increment == 2 %This case causes shell sort to become insertion sort
increment = 1;
else
increment = round(increment/2.2);
end
end %while
end %shellSort |
http://rosettacode.org/wiki/Stack | Stack |
Data Structure
This illustrates a data structure, a means of storing data within a program.
You may see other such structures in the Data Structures category.
A stack is a container of elements with last in, first out access policy. Sometimes it also called LIFO.
The stack is accessed through its top.
The basic stack operations are:
push stores a new element onto the stack top;
pop returns the last pushed stack element, while removing it from the stack;
empty tests if the stack contains no elements.
Sometimes the last pushed stack element is made accessible for immutable access (for read) or mutable access (for write):
top (sometimes called peek to keep with the p theme) returns the topmost element without modifying the stack.
Stacks allow a very simple hardware implementation.
They are common in almost all processors.
In programming, stacks are also very popular for their way (LIFO) of resource management, usually memory.
Nested scopes of language objects are naturally implemented by a stack (sometimes by multiple stacks).
This is a classical way to implement local variables of a re-entrant or recursive subprogram. Stacks are also used to describe a formal computational framework.
See stack machine.
Many algorithms in pattern matching, compiler construction (e.g. recursive descent parsers), and machine learning (e.g. based on tree traversal) have a natural representation in terms of stacks.
Task
Create a stack supporting the basic operations: push, pop, empty.
See also
Array
Associative array: Creation, Iteration
Collections
Compound data type
Doubly-linked list: Definition, Element definition, Element insertion, List Traversal, Element Removal
Linked list
Queue: Definition, Usage
Set
Singly-linked list: Element definition, Element insertion, List Traversal, Element Removal
Stack
| #Maple | Maple | with(stack): # load the package, to allow use of short command names
s := stack:-new(a, b):
push(c, s):
# The following statements terminate with a semicolon and print output.
top(s);
pop(s);
pop(s);
empty(s);
pop(s);
empty(s); |
http://rosettacode.org/wiki/Spiral_matrix | Spiral matrix | Task
Produce a spiral array.
A spiral array is a square arrangement of the first N2 natural numbers, where the
numbers increase sequentially as you go around the edges of the array spiraling inwards.
For example, given 5, produce this array:
0 1 2 3 4
15 16 17 18 5
14 23 24 19 6
13 22 21 20 7
12 11 10 9 8
Related tasks
Zig-zag matrix
Identity_matrix
Ulam_spiral_(for_primes)
| #Octave | Octave | function a = spiral(n)
a = ones(n*n, 1);
u = -(i = n) * (v = ones(n, 1));
for k = n-1:-1:1
j = 1:k;
a(j+i) = u(j) = -u(j);
a(j+(i+k)) = v(j) = -v(j);
i += 2*k;
endfor
a(cumsum(a)) = 1:n*n;
a = reshape(a, n, n)'-1;
endfunction
>> spiral(5)
ans =
0 1 2 3 4
15 16 17 18 5
14 23 24 19 6
13 22 21 20 7
12 11 10 9 8 |
http://rosettacode.org/wiki/Sorting_algorithms/Radix_sort | Sorting algorithms/Radix sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an integer array with the radix sort algorithm.
The primary purpose is to complete the characterization of sort algorithms task.
| #PicoLisp | PicoLisp | (de radixSort (Lst)
(let Mask 1
(while
(let (Pos (list NIL NIL) Neg (list NIL NIL) Flg)
(for N Lst
(queue
(if2 (ge0 N) (bit? Mask N)
(cdr Pos) Pos Neg (cdr Neg) )
N )
(and (>= (abs N) Mask) (on Flg)) )
(setq
Lst (conc (apply conc Neg) (apply conc Pos))
Mask (* 2 Mask) )
Flg ) ) )
Lst ) |
http://rosettacode.org/wiki/Sorting_algorithms/Radix_sort | Sorting algorithms/Radix sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an integer array with the radix sort algorithm.
The primary purpose is to complete the characterization of sort algorithms task.
| #PureBasic | PureBasic | Structure bucket
List i.i()
EndStructure
DataSection
;sets specify the size (1 based) followed by each integer
set1:
Data.i 10 ;size
Data.i 1, 3, 8, 9, 0, 0, 8, 7, 1, 6 ;data
set2:
Data.i 8
Data.i 170, 45, 75, 90, 2, 24, 802, 66
set3:
Data.i 8
Data.i 170, 45, 75, 90, 2, 24, -802, -66
EndDataSection
Procedure setIntegerArray(Array x(1), *setPtr)
Protected i, count
count = PeekI(*setPtr) - 1 ;convert to zero based count
*setPtr + SizeOf(Integer) ;move pointer forward to data
Dim x(count)
For i = 0 To count
x(i) = PeekI(*setPtr + i * SizeOf(Integer))
Next
EndProcedure
Procedure displayArray(Array x(1))
Protected i, Size = ArraySize(x())
For i = 0 To Size
Print(Str(x(i)))
If i < Size: Print(", "): EndIf
Next
PrintN("")
EndProcedure
Procedure radixSort(Array x(1), Base = 10)
Protected count = ArraySize(x())
If Base < 1 Or count < 1: ProcedureReturn: EndIf ;exit due to invalid values
Protected i, pv, digit, digitCount, maxAbs, pass, index
;find element with largest number of digits
For i = 0 To count
If Abs(x(i)) > maxAbs
maxAbs = Abs(x(i))
EndIf
Next
digitCount = Int(Log(maxAbs)/Log(Base)) + 1
For pass = 1 To digitCount
Dim sortBuckets.bucket(Base * 2 - 1)
pv = Pow(Base, pass - 1)
;place elements in buckets according to the current place-value's digit
For index = 0 To count
digit = Int(x(index)/pv) % Base + Base
AddElement(sortBuckets(digit)\i())
sortBuckets(digit)\i() = x(index)
Next
;transfer contents of buckets back into array
index = 0
For digit = 1 To (Base * 2) - 1
ForEach sortBuckets(digit)\i()
x(index) = sortBuckets(digit)\i()
index + 1
Next
Next
Next
EndProcedure
If OpenConsole()
Dim x(0)
setIntegerArray(x(), ?set1)
radixSort(x()): displayArray(x())
setIntegerArray(x(), ?set2)
radixSort(x()): displayArray(x())
setIntegerArray(x(), ?set3)
radixSort(x(), 2): displayArray(x())
Print(#CRLF$ + #CRLF$ + "Press ENTER to exit"): Input()
CloseConsole()
EndIf |
http://rosettacode.org/wiki/Sorting_algorithms/Quicksort | Sorting algorithms/Quicksort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Quicksort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Task
Sort an array (or list) elements using the quicksort algorithm.
The elements must have a strict weak order and the index of the array can be of any discrete type.
For languages where this is not possible, sort an array of integers.
Quicksort, also known as partition-exchange sort, uses these steps.
Choose any element of the array to be the pivot.
Divide all other elements (except the pivot) into two partitions.
All elements less than the pivot must be in the first partition.
All elements greater than the pivot must be in the second partition.
Use recursion to sort both partitions.
Join the first sorted partition, the pivot, and the second sorted partition.
The best pivot creates partitions of equal length (or lengths differing by 1).
The worst pivot creates an empty partition (for example, if the pivot is the first or last element of a sorted array).
The run-time of Quicksort ranges from O(n log n) with the best pivots, to O(n2) with the worst pivots, where n is the number of elements in the array.
This is a simple quicksort algorithm, adapted from Wikipedia.
function quicksort(array)
less, equal, greater := three empty arrays
if length(array) > 1
pivot := select any element of array
for each x in array
if x < pivot then add x to less
if x = pivot then add x to equal
if x > pivot then add x to greater
quicksort(less)
quicksort(greater)
array := concatenate(less, equal, greater)
A better quicksort algorithm works in place, by swapping elements within the array, to avoid the memory allocation of more arrays.
function quicksort(array)
if length(array) > 1
pivot := select any element of array
left := first index of array
right := last index of array
while left ≤ right
while array[left] < pivot
left := left + 1
while array[right] > pivot
right := right - 1
if left ≤ right
swap array[left] with array[right]
left := left + 1
right := right - 1
quicksort(array from first index to right)
quicksort(array from left to last index)
Quicksort has a reputation as the fastest sort. Optimized variants of quicksort are common features of many languages and libraries. One often contrasts quicksort with merge sort, because both sorts have an average time of O(n log n).
"On average, mergesort does fewer comparisons than quicksort, so it may be better when complicated comparison routines are used. Mergesort also takes advantage of pre-existing order, so it would be favored for using sort() to merge several sorted arrays. On the other hand, quicksort is often faster for small arrays, and on arrays of a few distinct values, repeated many times." — http://perldoc.perl.org/sort.html
Quicksort is at one end of the spectrum of divide-and-conquer algorithms, with merge sort at the opposite end.
Quicksort is a conquer-then-divide algorithm, which does most of the work during the partitioning and the recursive calls. The subsequent reassembly of the sorted partitions involves trivial effort.
Merge sort is a divide-then-conquer algorithm. The partioning happens in a trivial way, by splitting the input array in half. Most of the work happens during the recursive calls and the merge phase.
With quicksort, every element in the first partition is less than or equal to every element in the second partition. Therefore, the merge phase of quicksort is so trivial that it needs no mention!
This task has not specified whether to allocate new arrays, or sort in place. This task also has not specified how to choose the pivot element. (Common ways to are to choose the first element, the middle element, or the median of three elements.) Thus there is a variety among the following implementations.
| #BCPL | BCPL | // This can be run using Cintcode BCPL freely available from www.cl.cam.ac.uk/users/mr10.
GET "libhdr.h"
LET quicksort(v, n) BE qsort(v+1, v+n)
AND qsort(l, r) BE
{ WHILE l+8<r DO
{ LET midpt = (l+r)/2
// Select a good(ish) median value.
LET val = middle(!l, !midpt, !r)
LET i = partition(val, l, r)
// Only use recursion on the smaller partition.
TEST i>midpt THEN { qsort(i, r); r := i-1 }
ELSE { qsort(l, i-1); l := i }
}
FOR p = l+1 TO r DO // Now perform insertion sort.
FOR q = p-1 TO l BY -1 TEST q!0<=q!1 THEN BREAK
ELSE { LET t = q!0
q!0 := q!1
q!1 := t
}
}
AND middle(a, b, c) = a<b -> b<c -> b,
a<c -> c,
a,
b<c -> a<c -> a,
c,
b
AND partition(median, p, q) = VALOF
{ LET t = ?
WHILE !p < median DO p := p+1
WHILE !q > median DO q := q-1
IF p>=q RESULTIS p
t := !p
!p := !q
!q := t
p, q := p+1, q-1
} REPEAT
LET start() = VALOF {
LET v = VEC 1000
FOR i = 1 TO 1000 DO v!i := randno(1_000_000)
quicksort(v, 1000)
FOR i = 1 TO 1000 DO
{ IF i MOD 10 = 0 DO newline()
writef(" %i6", v!i)
}
newline()
} |
http://rosettacode.org/wiki/Sorting_algorithms/Patience_sort | Sorting algorithms/Patience sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Sort an array of numbers (of any convenient size) into ascending order using Patience sorting.
Related task
Longest increasing subsequence
| #Kotlin | Kotlin | // version 1.1.2
fun <T : Comparable<T>> patienceSort(arr: Array<T>) {
if (arr.size < 2) return
val piles = mutableListOf<MutableList<T>>()
outer@ for (el in arr) {
for (pile in piles) {
if (pile.last() > el) {
pile.add(el)
continue@outer
}
}
piles.add(mutableListOf(el))
}
for (i in 0 until arr.size) {
var min = piles[0].last()
var minPileIndex = 0
for (j in 1 until piles.size) {
if (piles[j].last() < min) {
min = piles[j].last()
minPileIndex = j
}
}
arr[i] = min
val minPile = piles[minPileIndex]
minPile.removeAt(minPile.lastIndex)
if (minPile.size == 0) piles.removeAt(minPileIndex)
}
}
fun main(args: Array<String>) {
val iArr = arrayOf(4, 65, 2, -31, 0, 99, 83, 782, 1)
patienceSort(iArr)
println(iArr.contentToString())
val cArr = arrayOf('n', 'o', 'n', 'z', 'e', 'r', 'o', 's', 'u','m')
patienceSort(cArr)
println(cArr.contentToString())
val sArr = arrayOf("dog", "cow", "cat", "ape", "ant", "man", "pig", "ass", "gnu")
patienceSort(sArr)
println(sArr.contentToString())
} |
http://rosettacode.org/wiki/Sorting_algorithms/Insertion_sort | Sorting algorithms/Insertion sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Insertion sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
An O(n2) sorting algorithm which moves elements one at a time into the correct position.
The algorithm consists of inserting one element at a time into the previously sorted part of the array, moving higher ranked elements up as necessary.
To start off, the first (or smallest, or any arbitrary) element of the unsorted array is considered to be the sorted part.
Although insertion sort is an O(n2) algorithm, its simplicity, low overhead, good locality of reference and efficiency make it a good choice in two cases:
small n,
as the final finishing-off algorithm for O(n logn) algorithms such as mergesort and quicksort.
The algorithm is as follows (from wikipedia):
function insertionSort(array A)
for i from 1 to length[A]-1 do
value := A[i]
j := i-1
while j >= 0 and A[j] > value do
A[j+1] := A[j]
j := j-1
done
A[j+1] = value
done
Writing the algorithm for integers will suffice.
| #AutoHotkey | AutoHotkey | MsgBox % InsertionSort("")
MsgBox % InsertionSort("xxx")
MsgBox % InsertionSort("3,2,1")
MsgBox % InsertionSort("dog,000000,xx,cat,pile,abcde,1,cat,zz,xx,z")
InsertionSort(var) { ; SORT COMMA SEPARATED LIST
StringSplit a, var, `, ; make array, size = a0
Loop % a0-1 {
i := A_Index+1, v := a%i%, j := i-1
While j>0 and a%j%>v
u := j+1, a%u% := a%j%, j--
u := j+1, a%u% := v
}
Loop % a0 ; construct string from sorted array
sorted .= "," . a%A_Index%
Return SubStr(sorted,2) ; drop leading comma
} |
http://rosettacode.org/wiki/Sorting_algorithms/Permutation_sort | Sorting algorithms/Permutation sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a permutation sort, which proceeds by generating the possible permutations
of the input array/list until discovering the sorted one.
Pseudocode:
while not InOrder(list) do
nextPermutation(list)
done
| #Python | Python | from itertools import permutations
in_order = lambda s: all(x <= s[i+1] for i,x in enumerate(s[:-1]))
perm_sort = lambda s: (p for p in permutations(s) if in_order(p)).next() |
http://rosettacode.org/wiki/Sorting_algorithms/Permutation_sort | Sorting algorithms/Permutation sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a permutation sort, which proceeds by generating the possible permutations
of the input array/list until discovering the sorted one.
Pseudocode:
while not InOrder(list) do
nextPermutation(list)
done
| #Quackery | Quackery | [ 1 swap times [ i 1+ * ] ] is ! ( n --> n )
[ [] unrot 1 - times
[ i 1+ ! /mod
dip join ] drop ] is factoradic ( n n --> [ )
[ [] unrot witheach
[ pluck
rot swap nested join
swap ]
join ] is inversion ( [ [ --> [ )
[ over size
factoradic inversion ] is nperm ( [ n --> [ )
[ true swap
behead swap
witheach
[ tuck > if
[ dip not conclude ] ]
drop ] is sorted ( [ --> b )
[ 0
[ 2dup nperm
dup sorted not while
drop 1+ again ]
unrot 2drop ] is sort ( [ --> [ )
$ "beings" sort echo$ |
http://rosettacode.org/wiki/Sorting_algorithms/Heapsort | Sorting algorithms/Heapsort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Heapsort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Heapsort is an in-place sorting algorithm with worst case and average complexity of O(n logn).
The basic idea is to turn the array into a binary heap structure, which has the property that it allows efficient retrieval and removal of the maximal element.
We repeatedly "remove" the maximal element from the heap, thus building the sorted list from back to front.
A heap sort requires random access, so can only be used on an array-like data structure.
Pseudocode:
function heapSort(a, count) is
input: an unordered array a of length count
(first place a in max-heap order)
heapify(a, count)
end := count - 1
while end > 0 do
(swap the root(maximum value) of the heap with the
last element of the heap)
swap(a[end], a[0])
(decrement the size of the heap so that the previous
max value will stay in its proper place)
end := end - 1
(put the heap back in max-heap order)
siftDown(a, 0, end)
function heapify(a,count) is
(start is assigned the index in a of the last parent node)
start := (count - 2) / 2
while start ≥ 0 do
(sift down the node at index start to the proper place
such that all nodes below the start index are in heap
order)
siftDown(a, start, count-1)
start := start - 1
(after sifting down the root all nodes/elements are in heap order)
function siftDown(a, start, end) is
(end represents the limit of how far down the heap to sift)
root := start
while root * 2 + 1 ≤ end do (While the root has at least one child)
child := root * 2 + 1 (root*2+1 points to the left child)
(If the child has a sibling and the child's value is less than its sibling's...)
if child + 1 ≤ end and a[child] < a[child + 1] then
child := child + 1 (... then point to the right child instead)
if a[root] < a[child] then (out of max-heap order)
swap(a[root], a[child])
root := child (repeat to continue sifting down the child now)
else
return
Write a function to sort a collection of integers using heapsort.
| #AArch64_Assembly | AArch64 Assembly |
/* ARM assembly AARCH64 Raspberry PI 3B */
/* program heapSort64.s */
/* look Pseudocode begin this task */
/*******************************************/
/* Constantes file */
/*******************************************/
/* for this file see task include a file in language AArch64 assembly */
.include "../includeConstantesARM64.inc"
/*********************************/
/* Initialized data */
/*********************************/
.data
szMessSortOk: .asciz "Table sorted.\n"
szMessSortNok: .asciz "Table not sorted !!!!!.\n"
sMessResult: .asciz "Value : @ \n"
szCarriageReturn: .asciz "\n"
.align 4
//TableNumber: .quad 1,3,6,2,5,9,10,8,4,7
TableNumber: .quad 10,9,8,7,6,-5,4,3,2,1
.equ NBELEMENTS, (. - TableNumber) / 8
/*********************************/
/* UnInitialized data */
/*********************************/
.bss
sZoneConv: .skip 24
/*********************************/
/* code section */
/*********************************/
.text
.global main
main: // entry of program
1:
ldr x0,qAdrTableNumber // address number table
mov x1,#NBELEMENTS // number of élements
bl heapSort
ldr x0,qAdrTableNumber // address number table
bl displayTable
ldr x0,qAdrTableNumber // address number table
mov x1,#NBELEMENTS // number of élements
bl isSorted // control sort
cmp x0,#1 // sorted ?
beq 2f
ldr x0,qAdrszMessSortNok // no !! error sort
bl affichageMess
b 100f
2: // yes
ldr x0,qAdrszMessSortOk
bl affichageMess
100: // standard end of the program
mov x0, #0 // return code
mov x8, #EXIT // request to exit program
svc #0 // perform the system call
qAdrszCarriageReturn: .quad szCarriageReturn
qAdrsMessResult: .quad sMessResult
qAdrTableNumber: .quad TableNumber
qAdrszMessSortOk: .quad szMessSortOk
qAdrszMessSortNok: .quad szMessSortNok
/******************************************************************/
/* control sorted table */
/******************************************************************/
/* x0 contains the address of table */
/* x1 contains the number of elements > 0 */
/* x0 return 0 if not sorted 1 if sorted */
isSorted:
stp x2,lr,[sp,-16]! // save registers
stp x3,x4,[sp,-16]! // save registers
mov x2,#0
ldr x4,[x0,x2,lsl 3]
1:
add x2,x2,1
cmp x2,x1
bge 99f
ldr x3,[x0,x2, lsl 3]
cmp x3,x4
blt 98f
mov x4,x3
b 1b
98:
mov x0,0 // not sorted
b 100f
99:
mov x0,1 // sorted
100:
ldp x3,x4,[sp],16 // restaur 2 registers
ldp x2,lr,[sp],16 // restaur 2 registers
ret // return to address lr x30
/******************************************************************/
/* heap sort */
/******************************************************************/
/* x0 contains the address of table */
/* x1 contains the number of element */
heapSort:
stp x1,lr,[sp,-16]! // save registers
stp x2,x3,[sp,-16]! // save registers
bl heapify // first place table in max-heap order
sub x3,x1,1
1:
cmp x3,0
ble 100f
mov x1,0 // swap the root(maximum value) of the heap with the last element of the heap)
mov x2,x3
bl swapElement
sub x3,x3,1
mov x1,0
mov x2,x3 // put the heap back in max-heap order
bl siftDown
b 1b
100:
ldp x2,x3,[sp],16 // restaur 2 registers
ldp x1,lr,[sp],16 // restaur 2 registers
ret // return to address lr x30
/******************************************************************/
/* place table in max-heap order */
/******************************************************************/
/* x0 contains the address of table */
/* x1 contains the number of element */
heapify:
stp x1,lr,[sp,-16]! // save registers
stp x2,x3,[sp,-16]! // save registers
str x4,[sp,-16]! // save registers
mov x4,x1
sub x3,x1,2
lsr x3,x3,1
1:
cmp x3,0
blt 100f
mov x1,x3
sub x2,x4,1
bl siftDown
sub x3,x3,1
b 1b
100:
ldr x4,[sp],16 // restaur 1 registers
ldp x2,x3,[sp],16 // restaur 2 registers
ldp x1,lr,[sp],16 // restaur 2 registers
ret // return to address lr x30
/******************************************************************/
/* swap two elements of table */
/******************************************************************/
/* x0 contains the address of table */
/* x1 contains the first index */
/* x2 contains the second index */
swapElement:
stp x2,lr,[sp,-16]! // save registers
stp x3,x4,[sp,-16]! // save registers
ldr x3,[x0,x1,lsl #3] // swap number on the table
ldr x4,[x0,x2,lsl #3]
str x4,[x0,x1,lsl #3]
str x3,[x0,x2,lsl #3]
100:
ldp x3,x4,[sp],16 // restaur 2 registers
ldp x2,lr,[sp],16 // restaur 2 registers
ret // return to address lr x30
/******************************************************************/
/* put the heap back in max-heap order */
/******************************************************************/
/* x0 contains the address of table */
/* x1 contains the first index */
/* x2 contains the last index */
siftDown:
stp x1,lr,[sp,-16]! // save registers
stp x2,x3,[sp,-16]! // save registers
stp x4,x5,[sp,-16]! // save registers
stp x6,x7,[sp,-16]! // save registers
// x1 = root = start
mov x3,x2 // save last index
1:
lsl x4,x1,1
add x4,x4,1
cmp x4,x3
bgt 100f
add x5,x4,1
cmp x5,x3
bgt 2f
ldr x6,[x0,x4,lsl 3] // compare elements on the table
ldr x7,[x0,x5,lsl 3]
cmp x6,x7
csel x4,x5,x4,lt
//movlt x4,x5
2:
ldr x7,[x0,x4,lsl 3] // compare elements on the table
ldr x6,[x0,x1,lsl 3] // root
cmp x6,x7
bge 100f
mov x2,x4 // and x1 is root
bl swapElement
mov x1,x4 // root = child
b 1b
100:
ldp x6,x7,[sp],16 // restaur 2 registers
ldp x4,x5,[sp],16 // restaur 2 registers
ldp x2,x3,[sp],16 // restaur 2 registers
ldp x1,lr,[sp],16 // restaur 2 registers
ret // return to address lr x30
/******************************************************************/
/* Display table elements */
/******************************************************************/
/* x0 contains the address of table */
displayTable:
stp x1,lr,[sp,-16]! // save registers
stp x2,x3,[sp,-16]! // save registers
mov x2,x0 // table address
mov x3,0
1: // loop display table
ldr x0,[x2,x3,lsl 3]
ldr x1,qAdrsZoneConv
bl conversion10S // décimal conversion
ldr x0,qAdrsMessResult
ldr x1,qAdrsZoneConv
bl strInsertAtCharInc // insert result at @ character
bl affichageMess // display message
add x3,x3,1
cmp x3,NBELEMENTS - 1
ble 1b
ldr x0,qAdrszCarriageReturn
bl affichageMess
mov x0,x2
100:
ldp x2,x3,[sp],16 // restaur 2 registers
ldp x1,lr,[sp],16 // restaur 2 registers
ret // return to address lr x30
qAdrsZoneConv: .quad sZoneConv
/********************************************************/
/* File Include fonctions */
/********************************************************/
/* for this file see task include a file in language AArch64 assembly */
.include "../includeARM64.inc"
|
http://rosettacode.org/wiki/Sorting_algorithms/Merge_sort | Sorting algorithms/Merge sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
The merge sort is a recursive sort of order n*log(n).
It is notable for having a worst case and average complexity of O(n*log(n)), and a best case complexity of O(n) (for pre-sorted input).
The basic idea is to split the collection into smaller groups by halving it until the groups only have one element or no elements (which are both entirely sorted groups).
Then merge the groups back together so that their elements are in order.
This is how the algorithm gets its divide and conquer description.
Task
Write a function to sort a collection of integers using the merge sort.
The merge sort algorithm comes in two parts:
a sort function and
a merge function
The functions in pseudocode look like this:
function mergesort(m)
var list left, right, result
if length(m) ≤ 1
return m
else
var middle = length(m) / 2
for each x in m up to middle - 1
add x to left
for each x in m at and after middle
add x to right
left = mergesort(left)
right = mergesort(right)
if last(left) ≤ first(right)
append right to left
return left
result = merge(left, right)
return result
function merge(left,right)
var list result
while length(left) > 0 and length(right) > 0
if first(left) ≤ first(right)
append first(left) to result
left = rest(left)
else
append first(right) to result
right = rest(right)
if length(left) > 0
append rest(left) to result
if length(right) > 0
append rest(right) to result
return result
See also
the Wikipedia entry: merge sort
Note: better performance can be expected if, rather than recursing until length(m) ≤ 1, an insertion sort is used for length(m) smaller than some threshold larger than 1. However, this complicates the example code, so it is not shown here.
| #ACL2 | ACL2 | (defun split (xys)
(if (endp (rest xys))
(mv xys nil)
(mv-let (xs ys)
(split (rest (rest xys)))
(mv (cons (first xys) xs)
(cons (second xys) ys)))))
(defun mrg (xs ys)
(declare (xargs :measure (+ (len xs) (len ys))))
(cond ((endp xs) ys)
((endp ys) xs)
((< (first xs) (first ys))
(cons (first xs) (mrg (rest xs) ys)))
(t (cons (first ys) (mrg xs (rest ys))))))
(defthm split-shortens
(implies (consp (rest xs))
(mv-let (ys zs)
(split xs)
(and (< (len ys) (len xs))
(< (len zs) (len xs))))))
(defun msort (xs)
(declare (xargs
:measure (len xs)
:hints (("Goal"
:use ((:instance split-shortens))))))
(if (endp (rest xs))
xs
(mv-let (ys zs)
(split xs)
(mrg (msort ys)
(msort zs))))) |
http://rosettacode.org/wiki/Sorting_algorithms/Pancake_sort | Sorting algorithms/Pancake sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of integers (of any convenient size) into ascending order using Pancake sorting.
In short, instead of individual elements being sorted, the only operation allowed is to "flip" one end of the list, like so:
Before: 6 7 8 9 2 5 3 4 1
After: 9 8 7 6 2 5 3 4 1
Only one end of the list can be flipped; this should be the low end, but the high end is okay if it's easier to code or works better, but it must be the same end for the entire solution. (The end flipped can't be arbitrarily changed.)
Show both the initial, unsorted list and the final sorted list.
(Intermediate steps during sorting are optional.)
Optimizations are optional (but recommended).
Related tasks
Number reversal game
Topswops
Also see
Wikipedia article: pancake sorting.
| #Haskell | Haskell | import Data.List
import Control.Arrow
import Control.Monad
import Data.Maybe
dblflipIt :: (Ord a) => [a] -> [a]
dblflipIt = uncurry ((reverse.).(++)). first reverse
. ap (flip splitAt) (succ. fromJust. (elemIndex =<< maximum))
dopancakeSort :: (Ord a) => [a] -> [a]
dopancakeSort xs = dopcs (xs,[]) where
dopcs ([],rs) = rs
dopcs ([x],rs) = x:rs
dopcs (xs,rs) = dopcs $ (init &&& (:rs).last ) $ dblflipIt xs |
http://rosettacode.org/wiki/Sorting_algorithms/Stooge_sort | Sorting algorithms/Stooge sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Stooge sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Task
Show the Stooge Sort for an array of integers.
The Stooge Sort algorithm is as follows:
algorithm stoogesort(array L, i = 0, j = length(L)-1)
if L[j] < L[i] then
L[i] ↔ L[j]
if j - i > 1 then
t := (j - i + 1)/3
stoogesort(L, i , j-t)
stoogesort(L, i+t, j )
stoogesort(L, i , j-t)
return L
| #Pascal | Pascal | program StoogeSortDemo;
type
TIntArray = array of integer;
procedure stoogeSort(var m: TIntArray; i, j: integer);
var
t, temp: integer;
begin
if m[j] < m[i] then
begin
temp := m[j];
m[j] := m[i];
m[i] := temp;
end;
if j - i > 1 then
begin
t := (j - i + 1) div 3;
stoogesort(m, i, j-t);
stoogesort(m, i+t, j);
stoogesort(m, i, j-t);
end;
end;
var
data: TIntArray;
i: integer;
begin
setlength(data, 8);
Randomize;
writeln('The data before sorting:');
for i := low(data) to high(data) do
begin
data[i] := Random(high(data));
write(data[i]:4);
end;
writeln;
stoogeSort(data, low(data), high(data));
writeln('The data after sorting:');
for i := low(data) to high(data) do
begin
write(data[i]:4);
end;
writeln;
end. |
http://rosettacode.org/wiki/Sorting_algorithms/Selection_sort | Sorting algorithms/Selection sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of elements using the Selection sort algorithm.
It works as follows:
First find the smallest element in the array and exchange it with the element in the first position, then find the second smallest element and exchange it with the element in the second position, and continue in this way until the entire array is sorted.
Its asymptotic complexity is O(n2) making it inefficient on large arrays.
Its primary purpose is for when writing data is very expensive (slow) when compared to reading, eg. writing to flash memory or EEPROM.
No other sorting algorithm has less data movement.
References
Rosetta Code: O (complexity).
Wikipedia: Selection sort.
Wikipedia: [Big O notation].
| #Fortran | Fortran | PROGRAM SELECTION
IMPLICIT NONE
INTEGER :: intArray(10) = (/ 4, 9, 3, -2, 0, 7, -5, 1, 6, 8 /)
WRITE(*,"(A,10I5)") "Unsorted array:", intArray
CALL Selection_sort(intArray)
WRITE(*,"(A,10I5)") "Sorted array :", intArray
CONTAINS
SUBROUTINE Selection_sort(a)
INTEGER, INTENT(IN OUT) :: a(:)
INTEGER :: i, minIndex, temp
DO i = 1, SIZE(a)-1
minIndex = MINLOC(a(i:), 1) + i - 1
IF (a(i) > a(minIndex)) THEN
temp = a(i)
a(i) = a(minIndex)
a(minIndex) = temp
END IF
END DO
END SUBROUTINE Selection_sort
END PROGRAM SELECTION |
http://rosettacode.org/wiki/Soundex | Soundex | Soundex is an algorithm for creating indices for words based on their pronunciation.
Task
The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling (from the soundex Wikipedia article).
Caution
There is a major issue in many of the implementations concerning the separation of two consonants that have the same soundex code! According to the official Rules [[1]]. So check for instance if Ashcraft is coded to A-261.
If a vowel (A, E, I, O, U) separates two consonants that have the same soundex code, the consonant to the right of the vowel is coded. Tymczak is coded as T-522 (T, 5 for the M, 2 for the C, Z ignored (see "Side-by-Side" rule above), 2 for the K). Since the vowel "A" separates the Z and K, the K is coded.
If "H" or "W" separate two consonants that have the same soundex code, the consonant to the right of the vowel is not coded. Example: Ashcraft is coded A-261 (A, 2 for the S, C ignored, 6 for the R, 1 for the F). It is not coded A-226.
| #Haskell | Haskell | import Text.PhoneticCode.Soundex
main :: IO ()
main =
mapM_ print $
((,) <*> soundexSimple) <$> ["Soundex", "Example", "Sownteks", "Ekzampul"] |
http://rosettacode.org/wiki/Sorting_algorithms/Shell_sort | Sorting algorithms/Shell sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of elements using the Shell sort algorithm, a diminishing increment sort.
The Shell sort (also known as Shellsort or Shell's method) is named after its inventor, Donald Shell, who published the algorithm in 1959.
Shell sort is a sequence of interleaved insertion sorts based on an increment sequence.
The increment size is reduced after each pass until the increment size is 1.
With an increment size of 1, the sort is a basic insertion sort, but by this time the data is guaranteed to be almost sorted, which is insertion sort's "best case".
Any sequence will sort the data as long as it ends in 1, but some work better than others.
Empirical studies have shown a geometric increment sequence with a ratio of about 2.2 work well in practice.
[1]
Other good sequences are found at the On-Line Encyclopedia of Integer Sequences.
| #NetRexx | NetRexx | /* NetRexx */
options replace format comments java crossref savelog symbols binary
placesList = [String -
"UK London", "US New York", "US Boston", "US Washington" -
, "UK Washington", "US Birmingham", "UK Birmingham", "UK Boston" -
]
sortedList = shellSort(String[] Arrays.copyOf(placesList, placesList.length))
lists = [placesList, sortedList]
loop ln = 0 to lists.length - 1
cl = lists[ln]
loop ct = 0 to cl.length - 1
say cl[ct]
end ct
say
end ln
return
method shellSort(a = String[]) public constant binary returns String[]
n = a.length
inc = int Math.round(double n / 2.0)
loop label inc while inc > 0
loop i_ = inc to n - 1
temp = a[i_]
j_ = i_
loop label j_ while j_ >= inc
if \(a[j_ - inc].compareTo(temp) > 0) then leave j_
a[j_] = a[j_ - inc]
j_ = j_ - inc
end j_
a[j_] = temp
end i_
inc = int Math.round(double inc / 2.2)
end inc
return a
method isTrue public constant binary returns boolean
return 1 == 1
method isFalse public constant binary returns boolean
return \isTrue
|
http://rosettacode.org/wiki/Stack | Stack |
Data Structure
This illustrates a data structure, a means of storing data within a program.
You may see other such structures in the Data Structures category.
A stack is a container of elements with last in, first out access policy. Sometimes it also called LIFO.
The stack is accessed through its top.
The basic stack operations are:
push stores a new element onto the stack top;
pop returns the last pushed stack element, while removing it from the stack;
empty tests if the stack contains no elements.
Sometimes the last pushed stack element is made accessible for immutable access (for read) or mutable access (for write):
top (sometimes called peek to keep with the p theme) returns the topmost element without modifying the stack.
Stacks allow a very simple hardware implementation.
They are common in almost all processors.
In programming, stacks are also very popular for their way (LIFO) of resource management, usually memory.
Nested scopes of language objects are naturally implemented by a stack (sometimes by multiple stacks).
This is a classical way to implement local variables of a re-entrant or recursive subprogram. Stacks are also used to describe a formal computational framework.
See stack machine.
Many algorithms in pattern matching, compiler construction (e.g. recursive descent parsers), and machine learning (e.g. based on tree traversal) have a natural representation in terms of stacks.
Task
Create a stack supporting the basic operations: push, pop, empty.
See also
Array
Associative array: Creation, Iteration
Collections
Compound data type
Doubly-linked list: Definition, Element definition, Element insertion, List Traversal, Element Removal
Linked list
Queue: Definition, Usage
Set
Singly-linked list: Element definition, Element insertion, List Traversal, Element Removal
Stack
| #Mathematica.2FWolfram_Language | Mathematica/Wolfram Language | EmptyQ[a_] := If[Length[a] == 0, True, False]
SetAttributes[Push, HoldAll];[a_, elem_] := AppendTo[a, elem]
SetAttributes[Pop, HoldAllComplete];
Pop[a_] := If[EmptyQ[a], False, b = Last[a]; Set[a, Most[a]]; b]
Peek[a_] := If[EmptyQ[a], False, Last[a]]
Example use:
stack = {};Push[stack, 1]; Push[stack, 2]; Push[stack, 3]; Push[stack, 4];
Peek[stack]
->4
Pop[stack]
->4
Peek[stack]
->3 |
http://rosettacode.org/wiki/Spiral_matrix | Spiral matrix | Task
Produce a spiral array.
A spiral array is a square arrangement of the first N2 natural numbers, where the
numbers increase sequentially as you go around the edges of the array spiraling inwards.
For example, given 5, produce this array:
0 1 2 3 4
15 16 17 18 5
14 23 24 19 6
13 22 21 20 7
12 11 10 9 8
Related tasks
Zig-zag matrix
Identity_matrix
Ulam_spiral_(for_primes)
| #ooRexx | ooRexx |
call printArray generateArray(3)
say
call printArray generateArray(4)
say
call printArray generateArray(5)
::routine generateArray
use arg dimension
-- the output array
array = .array~new(dimension, dimension)
-- get the number of squares, including the center one if
-- the dimension is odd
squares = dimension % 2 + dimension // 2
-- length of a side for the current square
sidelength = dimension
current = 0
loop i = 1 to squares
-- do each side of the current square
-- top side
loop j = 0 to sidelength - 1
array[i, i + j] = current
current += 1
end
-- down the right side
loop j = 1 to sidelength - 1
array[i + j, dimension - i + 1] = current
current += 1
end
-- across the bottom
loop j = sidelength - 2 to 0 by -1
array[dimension - i + 1, i + j] = current
current += 1
end
-- and up the left side
loop j = sidelength - 2 to 1 by -1
array[i + j, i] = current
current += 1
end
-- reduce the length of the side by two rows
sidelength -= 2
end
return array
::routine printArray
use arg array
dimension = array~dimension(1)
loop i = 1 to dimension
line = "|"
loop j = 1 to dimension
line = line array[i, j]~right(2)
end
line = line "|"
say line
end
|
http://rosettacode.org/wiki/Sorting_algorithms/Radix_sort | Sorting algorithms/Radix sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an integer array with the radix sort algorithm.
The primary purpose is to complete the characterization of sort algorithms task.
| #Python | Python | #python2.6 <
from math import log
def getDigit(num, base, digit_num):
# pulls the selected digit
return (num // base ** digit_num) % base
def makeBlanks(size):
# create a list of empty lists to hold the split by digit
return [ [] for i in range(size) ]
def split(a_list, base, digit_num):
buckets = makeBlanks(base)
for num in a_list:
# append the number to the list selected by the digit
buckets[getDigit(num, base, digit_num)].append(num)
return buckets
# concatenate the lists back in order for the next step
def merge(a_list):
new_list = []
for sublist in a_list:
new_list.extend(sublist)
return new_list
def maxAbs(a_list):
# largest abs value element of a list
return max(abs(num) for num in a_list)
def split_by_sign(a_list):
# splits values by sign - negative values go to the first bucket,
# non-negative ones into the second
buckets = [[], []]
for num in a_list:
if num < 0:
buckets[0].append(num)
else:
buckets[1].append(num)
return buckets
def radixSort(a_list, base):
# there are as many passes as there are digits in the longest number
passes = int(round(log(maxAbs(a_list), base)) + 1)
new_list = list(a_list)
for digit_num in range(passes):
new_list = merge(split(new_list, base, digit_num))
return merge(split_by_sign(new_list))
|
http://rosettacode.org/wiki/Sorting_algorithms/Quicksort | Sorting algorithms/Quicksort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Quicksort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Task
Sort an array (or list) elements using the quicksort algorithm.
The elements must have a strict weak order and the index of the array can be of any discrete type.
For languages where this is not possible, sort an array of integers.
Quicksort, also known as partition-exchange sort, uses these steps.
Choose any element of the array to be the pivot.
Divide all other elements (except the pivot) into two partitions.
All elements less than the pivot must be in the first partition.
All elements greater than the pivot must be in the second partition.
Use recursion to sort both partitions.
Join the first sorted partition, the pivot, and the second sorted partition.
The best pivot creates partitions of equal length (or lengths differing by 1).
The worst pivot creates an empty partition (for example, if the pivot is the first or last element of a sorted array).
The run-time of Quicksort ranges from O(n log n) with the best pivots, to O(n2) with the worst pivots, where n is the number of elements in the array.
This is a simple quicksort algorithm, adapted from Wikipedia.
function quicksort(array)
less, equal, greater := three empty arrays
if length(array) > 1
pivot := select any element of array
for each x in array
if x < pivot then add x to less
if x = pivot then add x to equal
if x > pivot then add x to greater
quicksort(less)
quicksort(greater)
array := concatenate(less, equal, greater)
A better quicksort algorithm works in place, by swapping elements within the array, to avoid the memory allocation of more arrays.
function quicksort(array)
if length(array) > 1
pivot := select any element of array
left := first index of array
right := last index of array
while left ≤ right
while array[left] < pivot
left := left + 1
while array[right] > pivot
right := right - 1
if left ≤ right
swap array[left] with array[right]
left := left + 1
right := right - 1
quicksort(array from first index to right)
quicksort(array from left to last index)
Quicksort has a reputation as the fastest sort. Optimized variants of quicksort are common features of many languages and libraries. One often contrasts quicksort with merge sort, because both sorts have an average time of O(n log n).
"On average, mergesort does fewer comparisons than quicksort, so it may be better when complicated comparison routines are used. Mergesort also takes advantage of pre-existing order, so it would be favored for using sort() to merge several sorted arrays. On the other hand, quicksort is often faster for small arrays, and on arrays of a few distinct values, repeated many times." — http://perldoc.perl.org/sort.html
Quicksort is at one end of the spectrum of divide-and-conquer algorithms, with merge sort at the opposite end.
Quicksort is a conquer-then-divide algorithm, which does most of the work during the partitioning and the recursive calls. The subsequent reassembly of the sorted partitions involves trivial effort.
Merge sort is a divide-then-conquer algorithm. The partioning happens in a trivial way, by splitting the input array in half. Most of the work happens during the recursive calls and the merge phase.
With quicksort, every element in the first partition is less than or equal to every element in the second partition. Therefore, the merge phase of quicksort is so trivial that it needs no mention!
This task has not specified whether to allocate new arrays, or sort in place. This task also has not specified how to choose the pivot element. (Common ways to are to choose the first element, the middle element, or the median of three elements.) Thus there is a variety among the following implementations.
| #Beads | Beads | beads 1 program Quicksort
calc main_init
var arr = [1, 3, 5, 1, 7, 9, 8, 6, 4, 2]
var arr2 = arr
quicksort(arr, 1, tree_count(arr))
var tempStr : str
loop across:arr index:ix
tempStr = tempStr & ' ' & to_str(arr[ix])
log tempStr
calc quicksort(
arr:array of num
startIndex
highIndex
)
if (startIndex < highIndex)
var partitionIndex = partition(arr, startIndex, highIndex)
quicksort(arr, startIndex, partitionIndex - 1)
quicksort(arr, partitionIndex+1, highIndex)
calc partition(
arr:array of num
startIndex
highIndex
):num
var pivot = arr[highIndex]
var i = startIndex - 1
var j = startIndex
loop while:(j <= highIndex - 1)
if arr[j] < pivot
inc i
swap arr[i] <=> arr[j]
inc j
swap arr[i+1] <=> arr[highIndex]
return (i+1)
|
http://rosettacode.org/wiki/Sorting_algorithms/Patience_sort | Sorting algorithms/Patience sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Sort an array of numbers (of any convenient size) into ascending order using Patience sorting.
Related task
Longest increasing subsequence
| #Mercury | Mercury | :- module patience_sort_task.
:- interface.
:- import_module io.
:- pred main(io::di, io::uo) is det.
:- implementation.
:- import_module array.
:- import_module int.
:- import_module list.
:- import_module string.
%%%-------------------------------------------------------------------
%%%
%%% patience_sort/5 -- sorts Array[Ifirst..Ilast] out of place,
%%% returning indices in Sorted[0..Ilast-Ifirst].
%%%
:- pred patience_sort(pred(T, T), int, int, array(T), array(int)).
:- mode patience_sort(pred(in, in) is semidet,
in, in, in, out) is det.
patience_sort(Less, Ifirst, Ilast, Array, Sorted) :-
deal(Less, Ifirst, Ilast, Array, Num_piles, Piles, Links),
k_way_merge(Less, Ifirst, Ilast, Array,
Num_piles, Piles, Links, Sorted).
%%%-------------------------------------------------------------------
%%%
%%% deal/7 -- deals array elements into piles.
%%%
:- pred deal(pred(T, T), int, int, array(T),
int, array(int), array(int)).
:- mode deal(pred(in, in) is semidet, in, in, in,
out, array_uo, array_uo).
deal(Less, Ifirst, Ilast, Array, Num_piles, Piles, Links) :-
Piles_last = Ilast - Ifirst + 1,
%% I do not use index zero of arrays, so must allocate one extra
%% entry per array.
init(Piles_last + 1, 0, Piles0),
init(Piles_last + 1, 0, Links0),
deal_loop(Less, Ifirst, Ilast, Array, 1,
0, Num_piles,
Piles0, Piles,
Links0, Links).
:- pred deal_loop(pred(T, T), int, int, array(T),
int, int, int,
array(int), array(int),
array(int), array(int)).
:- mode deal_loop(pred(in, in) is semidet, in, in, in,
in, in, out,
array_di, array_uo,
array_di, array_uo) is det.
deal_loop(Less, Ifirst, Ilast, Array, Q,
!Num_piles, !Piles, !Links) :-
Piles_last = Ilast - Ifirst + 1,
(if (Q =< Piles_last)
then (find_pile(Less, Ifirst, Array, !.Num_piles, !.Piles, Q) = I,
(!.Piles^elem(I)) = L1,
(!.Piles^elem(I) := Q) = !:Piles,
(!.Links^elem(Q) := L1) = !:Links,
max(!.Num_piles, I) = !:Num_piles,
deal_loop(Less, Ifirst, Ilast, Array, Q + 1,
!Num_piles, !Piles, !Links))
else true).
:- func find_pile(pred(T, T), int, array(T),
int, array(int), int) = int.
:- mode find_pile(pred(in, in) is semidet,
in, in, in, in, in) = out is det.
find_pile(Less, Ifirst, Array, Num_piles, Piles, Q) = Index :-
%%
%% Bottenbruch search for the leftmost pile whose top is greater
%% than or equal to x. Return an index such that:
%%
%% * if x is greater than the top element at the far right, then
%% the index returned will be num-piles.
%%
%% * otherwise, x is greater than every top element to the left of
%% index, and less than or equal to the top elements at index
%% and to the right of index.
%%
%% References:
%%
%% * H. Bottenbruch, "Structure and use of ALGOL 60", Journal of
%% the ACM, Volume 9, Issue 2, April 1962, pp.161-221.
%% https://doi.org/10.1145/321119.321120
%%
%% The general algorithm is described on pages 214 and 215.
%%
%% * https://en.wikipedia.org/w/index.php?title=Binary_search_algorithm&oldid=1062988272#Alternative_procedure
%%
%% Note:
%%
%% * There is a binary search in the array module of the standard
%% library, but our search algorithm is known to work in other
%% programming languages and is written specifically for the
%% situation.
%%
(if (Num_piles = 0) then (Index = 1)
else (find_pile_loop(Less, Ifirst, Array, Piles, Q,
0, Num_piles - 1, J),
(if (J = Num_piles - 1)
then (I1 = Piles^elem(J + 1) + Ifirst - 1,
I2 = Q + Ifirst - 1,
(if Less(Array^elem(I1), Array^elem(I2))
then (Index = J + 2)
else (Index = J + 1)))
else (Index = J + 1)))).
:- pred find_pile_loop(pred(T, T), int, array(T), array(int),
int, int, int, int).
:- mode find_pile_loop(pred(in, in) is semidet,
in, in, in, in, in, in, out) is det.
find_pile_loop(Less, Ifirst, Array, Piles, Q, J, K, J1) :-
(if (J = K) then (J1 = J)
else ((J + K) // 2 = I,
I1 = Piles^elem(J + 1) + Ifirst - 1,
I2 = Q + Ifirst - 1,
(if Less(Array^elem(I1), Array^elem(I2))
then find_pile_loop(Less, Ifirst, Array, Piles, Q,
I + 1, K, J1)
else find_pile_loop(Less, Ifirst, Array, Piles, Q,
J, I, J1)))).
%%%-------------------------------------------------------------------
%%%
%%% k_way_merge/8 --
%%%
%%% k-way merge by tournament tree (specific to this patience sort).
%%%
%%% See Knuth, volume 3, and also
%%% https://en.wikipedia.org/w/index.php?title=K-way_merge_algorithm&oldid=1047851465#Tournament_Tree
%%%
%%% However, I store a winners tree instead of the recommended losers
%%% tree. If the tree were stored as linked nodes, it would probably
%%% be more efficient to store a losers tree. However, I am storing
%%% the tree as an array, and one can find an opponent quickly by
%%% simply toggling the least significant bit of a competitor's array
%%% index.
%%%
:- pred k_way_merge(pred(T, T), int, int, array(T), int,
array(int), array(int), array(int)).
:- mode k_way_merge(pred(in, in) is semidet,
in, in, in, in, array_di, in, out) is det.
%% Contrary to the arrays used internally, the Sorted array is indexed
%% starting at zero.
k_way_merge(Less, Ifirst, Ilast, Array,
Num_piles, Piles, Links, Sorted) :-
init(Ilast - Ifirst + 1, 0, Sorted0),
build_tree(Less, Ifirst, Array, Num_piles, Links, Piles, Piles1,
Total_external_nodes, Winners_values, Winners_indices),
k_way_merge_(Less, Ifirst, Array, Piles1, Links,
Total_external_nodes, Winners_values, Winners_indices,
0, Sorted0, Sorted).
:- pred k_way_merge_(pred(T, T), int, array(T),
array(int), array(int), int,
array(int), array(int), int,
array(int), array(int)).
:- mode k_way_merge_(pred(in, in) is semidet, in, in, array_di,
in, in, array_di, array_di,
in, array_di, array_uo) is det.
%% Contrary to the arrays used internally, the Sorted array is indexed
%% starting at zero.
k_way_merge_(Less, Ifirst, Array, Piles, Links, Total_external_nodes,
Winners_values, Winners_indices, Isorted, !Sorted) :-
Total_nodes = (2 * Total_external_nodes) - 1,
(Winners_values^elem(1)) = Value,
(if (Value = 0) then true
else (set(Isorted, Value + Ifirst - 1, !Sorted),
(Winners_indices^elem(1)) = Index,
(Piles^elem(Index)) = Next, % The next top of pile Index.
(if (Next \= 0) % Drop that top of pile.
then (Links^elem(Next) = Link,
set(Index, Link, Piles, Piles1))
else (Piles = Piles1)),
(Total_nodes // 2) + Index = I,
(Winners_values^elem(I) := Next) = Winners_values1,
replay_games(Less, Ifirst, Array, I,
Winners_values1, Winners_values2,
Winners_indices, Winners_indices1),
k_way_merge_(Less, Ifirst, Array, Piles1, Links,
Total_external_nodes, Winners_values2,
Winners_indices1, Isorted + 1, !Sorted))).
:- pred build_tree(pred(T, T), int, array(T), int, array(int),
array(int), array(int), int, array(int),
array(int)).
:- mode build_tree(pred(in, in) is semidet, in, in, in, in,
array_di, array_uo, out, out, out) is det.
build_tree(Less, Ifirst, Array, Num_piles, Links, !Piles,
Total_external_nodes, Winners_values, Winners_indices) :-
Total_external_nodes = next_power_of_two(Num_piles),
Total_nodes = (2 * Total_external_nodes) - 1,
%% I do not use index zero of arrays, so must allocate one extra
%% entry per array.
init(Total_nodes + 1, 0, Winners_values0),
init(Total_nodes + 1, 0, Winners_indices0),
init_winners_pile_indices(Total_external_nodes, 1,
Winners_indices0, Winners_indices1),
init_starting_competitors(Total_external_nodes, Num_piles,
(!.Piles), 1, Winners_values0,
Winners_values1),
discard_initial_tops_of_piles(Num_piles, Links, 1, !Piles),
play_initial_games(Less, Ifirst, Array,
Total_external_nodes,
Winners_values1, Winners_values,
Winners_indices1, Winners_indices).
:- pred init_winners_pile_indices(int::in, int::in,
array(int)::array_di,
array(int)::array_uo) is det.
init_winners_pile_indices(Total_external_nodes, I,
!Winners_indices) :-
(if (I = Total_external_nodes + 1) then true
else (set(Total_external_nodes - 1 + I, I, !Winners_indices),
init_winners_pile_indices(Total_external_nodes, I + 1,
!Winners_indices))).
:- pred init_starting_competitors(int::in, int::in,
array(int)::in, int::in,
array(int)::array_di,
array(int)::array_uo) is det.
init_starting_competitors(Total_external_nodes, Num_piles,
Piles, I, !Winners_values) :-
(if (I = Num_piles + 1) then true
else (Piles^elem(I) = Value,
set(Total_external_nodes - 1 + I, Value, !Winners_values),
init_starting_competitors(Total_external_nodes, Num_piles,
Piles, I + 1, !Winners_values))).
:- pred discard_initial_tops_of_piles(int::in, array(int)::in,
int::in, array(int)::array_di,
array(int)::array_uo) is det.
discard_initial_tops_of_piles(Num_piles, Links, I, !Piles) :-
(if (I = Num_piles + 1) then true
else ((!.Piles^elem(I)) = Old_value,
Links^elem(Old_value) = New_value,
set(I, New_value, !Piles),
discard_initial_tops_of_piles(Num_piles, Links, I + 1,
!Piles))).
:- pred play_initial_games(pred(T, T), int, array(T), int,
array(int), array(int),
array(int), array(int)).
:- mode play_initial_games(pred(in, in) is semidet,
in, in, in,
array_di, array_uo,
array_di, array_uo) is det.
play_initial_games(Less, Ifirst, Array, Istart,
!Winners_values, !Winners_indices) :-
(if (Istart = 1) then true
else (play_an_initial_round(Less, Ifirst, Array, Istart, Istart,
!Winners_values, !Winners_indices),
play_initial_games(Less, Ifirst, Array, Istart // 2,
!Winners_values, !Winners_indices))).
:- pred play_an_initial_round(pred(T, T), int, array(T), int, int,
array(int), array(int),
array(int), array(int)).
:- mode play_an_initial_round(pred(in, in) is semidet,
in, in, in, in,
array_di, array_uo,
array_di, array_uo) is det.
play_an_initial_round(Less, Ifirst, Array, Istart, I,
!Winners_values, !Winners_indices) :-
(if ((2 * Istart) - 1 < I) then true
else (play_game(Less, Ifirst, Array,
!.Winners_values, I) = Iwinner,
(!.Winners_values^elem(Iwinner)) = Value,
(!.Winners_indices^elem(Iwinner)) = Index,
I // 2 = Iparent,
set(Iparent, Value, !Winners_values),
set(Iparent, Index, !Winners_indices),
play_an_initial_round(Less, Ifirst, Array, Istart, I + 2,
!Winners_values, !Winners_indices))).
:- pred replay_games(pred(T, T), int, array(T), int,
array(int), array(int),
array(int), array(int)).
:- mode replay_games(pred(in, in) is semidet, in, in, in,
array_di, array_uo,
array_di, array_uo) is det.
replay_games(Less, Ifirst, Array, I,
!Winners_values, !Winners_indices) :-
(if (I = 1) then true
else (Iwinner = play_game(Less, Ifirst, Array,
!.Winners_values, I),
(!.Winners_values^elem(Iwinner)) = Value,
(!.Winners_indices^elem(Iwinner)) = Index,
I // 2 = Iparent,
set(Iparent, Value, !Winners_values),
set(Iparent, Index, !Winners_indices),
replay_games(Less, Ifirst, Array, Iparent,
!Winners_values, !Winners_indices))).
:- func play_game(pred(T, T), int, array(T), array(int), int) = int.
:- mode play_game(pred(in, in) is semidet,
in, in, in, in) = out is det.
play_game(Less, Ifirst, Array, Winners_values, I) = Iwinner :-
J = xor(I, 1), % Find an opponent.
Winners_values^elem(I) = Value_I,
(if (Value_I = 0) then (Iwinner = J)
else (Winners_values^elem(J) = Value_J,
(if (Value_J = 0) then (Iwinner = I)
else (AJ = Array^elem(Value_J + Ifirst - 1),
AI = Array^elem(Value_I + Ifirst - 1),
(if Less(AJ, AI) then (Iwinner = J)
else (Iwinner = I)))))).
%%%-------------------------------------------------------------------
:- func next_power_of_two(int) = int.
%% This need not be a fast implemention.
next_power_of_two(N) = next_power_of_two_(N, 1).
:- func next_power_of_two_(int, int) = int.
next_power_of_two_(N, I) = Pow2 :-
if (I < N) then (Pow2 = next_power_of_two_(N, I + I))
else (Pow2 = I).
%%%-------------------------------------------------------------------
:- func example_numbers = list(int).
example_numbers = [22, 15, 98, 82, 22, 4, 58, 70, 80, 38, 49, 48, 46,
54, 93, 8, 54, 2, 72, 84, 86, 76, 53, 37, 90].
main(!IO) :-
from_list(example_numbers, Array),
bounds(Array, Ifirst, Ilast),
patience_sort(<, Ifirst, Ilast, Array, Sorted),
print("unsorted ", !IO),
print_int_array(Array, Ifirst, !IO),
print_line("", !IO),
print("sorted ", !IO),
print_indirect_array(Sorted, Array, 0, !IO),
print_line("", !IO).
:- pred print_int_array(array(int)::in, int::in,
io::di, io::uo) is det.
print_int_array(Array, I, !IO) :-
bounds(Array, _, Ilast),
(if (I = Ilast + 1) then true
else (print(" ", !IO),
print(from_int(Array^elem(I)), !IO),
print_int_array(Array, I + 1, !IO))).
:- pred print_indirect_array(array(int)::in, array(int)::in,
int::in, io::di, io::uo) is det.
print_indirect_array(Sorted, Array, I, !IO) :-
bounds(Sorted, _, Ilast),
(if (I = Ilast + 1) then true
else (print(" ", !IO),
print(from_int(Array^elem(Sorted^elem(I))), !IO),
print_indirect_array(Sorted, Array, I + 1, !IO))).
%%%-------------------------------------------------------------------
%%% local variables:
%%% mode: mercury
%%% prolog-indent-width: 2
%%% end: |
http://rosettacode.org/wiki/Sorting_algorithms/Insertion_sort | Sorting algorithms/Insertion sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Insertion sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
An O(n2) sorting algorithm which moves elements one at a time into the correct position.
The algorithm consists of inserting one element at a time into the previously sorted part of the array, moving higher ranked elements up as necessary.
To start off, the first (or smallest, or any arbitrary) element of the unsorted array is considered to be the sorted part.
Although insertion sort is an O(n2) algorithm, its simplicity, low overhead, good locality of reference and efficiency make it a good choice in two cases:
small n,
as the final finishing-off algorithm for O(n logn) algorithms such as mergesort and quicksort.
The algorithm is as follows (from wikipedia):
function insertionSort(array A)
for i from 1 to length[A]-1 do
value := A[i]
j := i-1
while j >= 0 and A[j] > value do
A[j+1] := A[j]
j := j-1
done
A[j+1] = value
done
Writing the algorithm for integers will suffice.
| #AWK | AWK | {
line[NR] = $0
}
END { # sort it with insertion sort
for(i=1; i <= NR; i++) {
value = line[i]
j = i - 1
while( ( j > 0) && ( line[j] > value ) ) {
line[j+1] = line[j]
j--
}
line[j+1] = value
}
#print it
for(i=1; i <= NR; i++) {
print line[i]
}
} |
http://rosettacode.org/wiki/Sorting_algorithms/Permutation_sort | Sorting algorithms/Permutation sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a permutation sort, which proceeds by generating the possible permutations
of the input array/list until discovering the sorted one.
Pseudocode:
while not InOrder(list) do
nextPermutation(list)
done
| #R | R | permutationsort <- function(x)
{
if(!require(e1071) stop("the package e1071 is required")
is.sorted <- function(x) all(diff(x) >= 0)
perms <- permutations(length(x))
i <- 1
while(!is.sorted(x))
{
x <- x[perms[i,]]
i <- i + 1
}
x
}
permutationsort(c(1, 10, 9, 7, 3, 0)) |
http://rosettacode.org/wiki/Sorting_algorithms/Permutation_sort | Sorting algorithms/Permutation sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a permutation sort, which proceeds by generating the possible permutations
of the input array/list until discovering the sorted one.
Pseudocode:
while not InOrder(list) do
nextPermutation(list)
done
| #Racket | Racket |
#lang racket
(define (sort l)
(for/first ([p (in-permutations l)] #:when (apply <= p)) p))
(sort '(6 1 5 2 4 3)) ; => '(1 2 3 4 5 6)
|
http://rosettacode.org/wiki/Sorting_algorithms/Heapsort | Sorting algorithms/Heapsort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Heapsort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Heapsort is an in-place sorting algorithm with worst case and average complexity of O(n logn).
The basic idea is to turn the array into a binary heap structure, which has the property that it allows efficient retrieval and removal of the maximal element.
We repeatedly "remove" the maximal element from the heap, thus building the sorted list from back to front.
A heap sort requires random access, so can only be used on an array-like data structure.
Pseudocode:
function heapSort(a, count) is
input: an unordered array a of length count
(first place a in max-heap order)
heapify(a, count)
end := count - 1
while end > 0 do
(swap the root(maximum value) of the heap with the
last element of the heap)
swap(a[end], a[0])
(decrement the size of the heap so that the previous
max value will stay in its proper place)
end := end - 1
(put the heap back in max-heap order)
siftDown(a, 0, end)
function heapify(a,count) is
(start is assigned the index in a of the last parent node)
start := (count - 2) / 2
while start ≥ 0 do
(sift down the node at index start to the proper place
such that all nodes below the start index are in heap
order)
siftDown(a, start, count-1)
start := start - 1
(after sifting down the root all nodes/elements are in heap order)
function siftDown(a, start, end) is
(end represents the limit of how far down the heap to sift)
root := start
while root * 2 + 1 ≤ end do (While the root has at least one child)
child := root * 2 + 1 (root*2+1 points to the left child)
(If the child has a sibling and the child's value is less than its sibling's...)
if child + 1 ≤ end and a[child] < a[child + 1] then
child := child + 1 (... then point to the right child instead)
if a[root] < a[child] then (out of max-heap order)
swap(a[root], a[child])
root := child (repeat to continue sifting down the child now)
else
return
Write a function to sort a collection of integers using heapsort.
| #ActionScript | ActionScript | function heapSort(data:Vector.<int>):Vector.<int> {
for (var start:int = (data.length-2)/2; start >= 0; start--) {
siftDown(data, start, data.length);
}
for (var end:int = data.length - 1; end > 0; end--) {
var tmp:int=data[0];
data[0]=data[end];
data[end]=tmp;
siftDown(data, 0, end);
}
return data;
}
function siftDown(data:Vector.<int>, start:int, end:int):void {
var heapRoot:int=start;
while (heapRoot * 2+1 < end) {
var child:int=heapRoot*2+1;
if (child+1<end&&data[child]<data[child+1]) {
child++;
}
if (data[heapRoot]<data[child]) {
var tmp:int=data[heapRoot];
data[heapRoot]=data[child];
data[child]=tmp;
heapRoot=child;
} else {
return;
}
}
} |
http://rosettacode.org/wiki/Sorting_algorithms/Merge_sort | Sorting algorithms/Merge sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
The merge sort is a recursive sort of order n*log(n).
It is notable for having a worst case and average complexity of O(n*log(n)), and a best case complexity of O(n) (for pre-sorted input).
The basic idea is to split the collection into smaller groups by halving it until the groups only have one element or no elements (which are both entirely sorted groups).
Then merge the groups back together so that their elements are in order.
This is how the algorithm gets its divide and conquer description.
Task
Write a function to sort a collection of integers using the merge sort.
The merge sort algorithm comes in two parts:
a sort function and
a merge function
The functions in pseudocode look like this:
function mergesort(m)
var list left, right, result
if length(m) ≤ 1
return m
else
var middle = length(m) / 2
for each x in m up to middle - 1
add x to left
for each x in m at and after middle
add x to right
left = mergesort(left)
right = mergesort(right)
if last(left) ≤ first(right)
append right to left
return left
result = merge(left, right)
return result
function merge(left,right)
var list result
while length(left) > 0 and length(right) > 0
if first(left) ≤ first(right)
append first(left) to result
left = rest(left)
else
append first(right) to result
right = rest(right)
if length(left) > 0
append rest(left) to result
if length(right) > 0
append rest(right) to result
return result
See also
the Wikipedia entry: merge sort
Note: better performance can be expected if, rather than recursing until length(m) ≤ 1, an insertion sort is used for length(m) smaller than some threshold larger than 1. However, this complicates the example code, so it is not shown here.
| #Action.21 | Action! | DEFINE MAX_COUNT="100"
PROC PrintArray(INT ARRAY a INT size)
INT i
Put('[)
FOR i=0 TO size-1
DO
IF i>0 THEN Put(' ) FI
PrintI(a(i))
OD
Put(']) PutE()
RETURN
PROC Merge(INT ARRAY a INT first,mid,last)
INT ARRAY left(MAX_COUNT),right(MAX_COUNT)
INT leftSize,rightSize,i,j,k
leftSize=mid-first+1
rightSize=last-mid
FOR i=0 TO leftSize-1
DO
left(i)=a(first+i)
OD
FOR i=0 TO rightSize-1
DO
right(i)=a(mid+1+i)
OD
i=0 j=0
k=first
WHILE i<leftSize AND j<rightSize
DO
IF left(i)<=right(j) THEN
a(k)=left(i)
i==+1
ELSE
a(k)=right(j)
j==+1
FI
k==+1
OD
WHILE i<leftSize
DO
a(k)=left(i)
i==+1 k==+1
OD
WHILE j<rightSize
DO
a(k)=right(j)
j==+1 k==+1
OD
RETURN
PROC MergeSort(INT ARRAY a INT size)
INT currSize,first,mid,last
currSize=1
WHILE currSize<size
DO
first=0
WHILE first<size-1
DO
mid=first+currSize-1
IF mid>size-1 THEN
mid=size-1
FI
last=first+2*currSize-1
IF last>size-1 THEN
last=size-1
FI
Merge(a,first,mid,last);
first==+2*currSize
OD
currSize==*2
OD
RETURN
PROC Test(INT ARRAY a INT size)
PrintE("Array before sort:")
PrintArray(a,size)
MergeSort(a,size)
PrintE("Array after sort:")
PrintArray(a,size)
PutE()
RETURN
PROC Main()
INT ARRAY
a(10)=[1 4 65535 0 3 7 4 8 20 65530],
b(21)=[10 9 8 7 6 5 4 3 2 1 0
65535 65534 65533 65532 65531
65530 65529 65528 65527 65526],
c(8)=[101 102 103 104 105 106 107 108],
d(12)=[1 65535 1 65535 1 65535 1
65535 1 65535 1 65535]
Test(a,10)
Test(b,21)
Test(c,8)
Test(d,12)
RETURN |
http://rosettacode.org/wiki/Sorting_algorithms/Pancake_sort | Sorting algorithms/Pancake sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of integers (of any convenient size) into ascending order using Pancake sorting.
In short, instead of individual elements being sorted, the only operation allowed is to "flip" one end of the list, like so:
Before: 6 7 8 9 2 5 3 4 1
After: 9 8 7 6 2 5 3 4 1
Only one end of the list can be flipped; this should be the low end, but the high end is okay if it's easier to code or works better, but it must be the same end for the entire solution. (The end flipped can't be arbitrarily changed.)
Show both the initial, unsorted list and the final sorted list.
(Intermediate steps during sorting are optional.)
Optimizations are optional (but recommended).
Related tasks
Number reversal game
Topswops
Also see
Wikipedia article: pancake sorting.
| #Haxe | Haxe | class PancakeSort {
@:generic
inline private static function flip<T>(arr:Array<T>, num:Int) {
var i = 0;
while (i < --num) {
var temp = arr[i];
arr[i++] = arr[num];
arr[num] = temp;
}
}
@:generic
public static function sort<T>(arr:Array<T>) {
if (arr.length < 2) return;
var i = arr.length;
while (i > 1) {
var maxNumPos = 0;
for (a in 0...i) {
if (Reflect.compare(arr[a], arr[maxNumPos]) > 0)
maxNumPos = a;
}
if (maxNumPos == i - 1) i--;
if (maxNumPos > 0) flip(arr, maxNumPos + 1);
flip(arr, i--);
}
}
}
class Main {
static function main() {
var integerArray = [1, 10, 2, 5, -1, 5, -19, 4, 23, 0];
var floatArray = [1.0, -3.2, 5.2, 10.8, -5.7, 7.3,
3.5, 0.0, -4.1, -9.5];
var stringArray = ['We', 'hold', 'these', 'truths', 'to',
'be', 'self-evident', 'that', 'all',
'men', 'are', 'created', 'equal'];
Sys.println('Unsorted Integers: ' + integerArray);
PancakeSort.sort(integerArray);
Sys.println('Sorted Integers: ' + integerArray);
Sys.println('Unsorted Floats: ' + floatArray);
PancakeSort.sort(floatArray);
Sys.println('Sorted Floats: ' + floatArray);
Sys.println('Unsorted Strings: ' + stringArray);
PancakeSort.sort(stringArray);
Sys.println('Sorted Strings: ' + stringArray);
}
} |
http://rosettacode.org/wiki/Sorting_algorithms/Pancake_sort | Sorting algorithms/Pancake sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of integers (of any convenient size) into ascending order using Pancake sorting.
In short, instead of individual elements being sorted, the only operation allowed is to "flip" one end of the list, like so:
Before: 6 7 8 9 2 5 3 4 1
After: 9 8 7 6 2 5 3 4 1
Only one end of the list can be flipped; this should be the low end, but the high end is okay if it's easier to code or works better, but it must be the same end for the entire solution. (The end flipped can't be arbitrarily changed.)
Show both the initial, unsorted list and the final sorted list.
(Intermediate steps during sorting are optional.)
Optimizations are optional (but recommended).
Related tasks
Number reversal game
Topswops
Also see
Wikipedia article: pancake sorting.
| #Icon_and_Unicon | Icon and Unicon | procedure main() #: demonstrate various ways to sort a list and string
demosort(pancakesort,[3, 14, 1, 5, 9, 2, 6, 3],"qwerty")
pancakeflip := pancakeflipshow # replace pancakeflip procedure with a variant that displays each flip
pancakesort([3, 14, 1, 5, 9, 2, 6, 3])
end
procedure pancakesort(X,op) #: return sorted list ascending(or descending)
local i,m
op := sortop(op,X) # select how and what we sort
every i := *X to 2 by -1 do { # work back to front
m := 1
every j := 2 to i do
if op(X[m],X[j]) then m := j # find X that belongs @i high (or low)
if i ~= m then { # not already in-place
X := pancakeflip(X,m) # . bring max (min) to front
X := pancakeflip(X,i) # . unsorted portion of stack
}
}
return X
end
procedure pancakeflip(X,tail) #: return X[1:tail] flipped
local i
i := 0
tail := integer(\tail|*X) + 1 | runerr(101,tail)
while X[(i +:= 1) < (tail -:= 1)] :=: X[i] # flip
return X
end
procedure pancakeflipshow(X,tail) #: return X[1:tail] flipped (and display)
local i
i := 0
tail := integer(\tail|*X) + 1 | runerr(101,tail)
while X[(i +:= 1) < (tail -:= 1)] :=: X[i] # flip
every writes(" ["|right(!X,4)|" ]\n") # show X
return X
end |
http://rosettacode.org/wiki/Sorting_algorithms/Stooge_sort | Sorting algorithms/Stooge sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Stooge sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Task
Show the Stooge Sort for an array of integers.
The Stooge Sort algorithm is as follows:
algorithm stoogesort(array L, i = 0, j = length(L)-1)
if L[j] < L[i] then
L[i] ↔ L[j]
if j - i > 1 then
t := (j - i + 1)/3
stoogesort(L, i , j-t)
stoogesort(L, i+t, j )
stoogesort(L, i , j-t)
return L
| #Perl | Perl | sub stooge {
use integer;
my ($x, $i, $j) = @_;
$i //= 0;
$j //= $#$x;
if ( $x->[$j] < $x->[$i] ) {
@$x[$i, $j] = @$x[$j, $i];
}
if ( $j - $i > 1 ) {
my $t = ($j - $i + 1) / 3;
stooge( $x, $i, $j - $t );
stooge( $x, $i + $t, $j );
stooge( $x, $i, $j - $t );
}
}
my @a = map (int rand(100), 1 .. 10);
print "Before @a\n";
stooge(\@a);
print "After @a\n";
|
http://rosettacode.org/wiki/Sorting_algorithms/Selection_sort | Sorting algorithms/Selection sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of elements using the Selection sort algorithm.
It works as follows:
First find the smallest element in the array and exchange it with the element in the first position, then find the second smallest element and exchange it with the element in the second position, and continue in this way until the entire array is sorted.
Its asymptotic complexity is O(n2) making it inefficient on large arrays.
Its primary purpose is for when writing data is very expensive (slow) when compared to reading, eg. writing to flash memory or EEPROM.
No other sorting algorithm has less data movement.
References
Rosetta Code: O (complexity).
Wikipedia: Selection sort.
Wikipedia: [Big O notation].
| #FreeBASIC | FreeBASIC | ' version 03-12-2016
' compile with: fbc -s console
' for boundry checks on array's compile with: fbc -s console -exx
Sub selectionsort(arr() As Long)
' sort from lower bound to the highter bound
' array's can have subscript range from -2147483648 to +2147483647
Dim As Long i, j, x
Dim As Long lb = LBound(arr)
Dim As Long ub = UBound(arr)
For i = lb To ub -1
x = i
For j = i +1 To ub
If arr(j) < arr(x) Then x = j
Next
If x <> i Then
Swap arr(i), arr(x)
End If
Next
End Sub
' ------=< MAIN >=------
Dim As Long i, array(-7 To 7)
Dim As Long a = LBound(array), b = UBound(array)
Randomize Timer
For i = a To b : array(i) = i : Next
For i = a To b ' little shuffle
Swap array(i), array(Int(Rnd * (b - a +1)) + a)
Next
Print "unsort ";
For i = a To b : Print Using "####"; array(i); : Next : Print
selectionsort(array()) ' sort the array
Print " sort ";
For i = a To b : Print Using "####"; array(i); : Next : Print
' empty keyboard buffer
While InKey <> "" : Wend
Print : Print "hit any key to end program"
Sleep
End |
http://rosettacode.org/wiki/Soundex | Soundex | Soundex is an algorithm for creating indices for words based on their pronunciation.
Task
The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling (from the soundex Wikipedia article).
Caution
There is a major issue in many of the implementations concerning the separation of two consonants that have the same soundex code! According to the official Rules [[1]]. So check for instance if Ashcraft is coded to A-261.
If a vowel (A, E, I, O, U) separates two consonants that have the same soundex code, the consonant to the right of the vowel is coded. Tymczak is coded as T-522 (T, 5 for the M, 2 for the C, Z ignored (see "Side-by-Side" rule above), 2 for the K). Since the vowel "A" separates the Z and K, the K is coded.
If "H" or "W" separate two consonants that have the same soundex code, the consonant to the right of the vowel is not coded. Example: Ashcraft is coded A-261 (A, 2 for the S, C ignored, 6 for the R, 1 for the F). It is not coded A-226.
| #Icon_and_Unicon | Icon and Unicon | procedure main(arglist) # computes soundex of each argument
every write(x := !arglist, " => ",soundex(x))
end
procedure soundex(name)
local dig,i,x
static con
initial { # construct mapping x[i] => i all else .
x := ["bfpv","cgjkqsxz","dt","l","mn","r"]
every ( dig := con := "") ||:= repl(i := 1 to *x,*x[i]) do con ||:= x[i]
con := map(map(&lcase,con,dig),&lcase,repl(".",*&lcase))
}
name := map(name) # lower case
name[1] := map(name[1],&lcase,&ucase) # upper case 1st
name := map(name,&lcase,con) # map cons
every x := !"123456" do
while name[find(x||x,name)+:2] := x # kill duplicates
while name[upto('.',name)] := "" # kill .
return left(name,4,"0")
end |
http://rosettacode.org/wiki/Sorting_algorithms/Shell_sort | Sorting algorithms/Shell sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of elements using the Shell sort algorithm, a diminishing increment sort.
The Shell sort (also known as Shellsort or Shell's method) is named after its inventor, Donald Shell, who published the algorithm in 1959.
Shell sort is a sequence of interleaved insertion sorts based on an increment sequence.
The increment size is reduced after each pass until the increment size is 1.
With an increment size of 1, the sort is a basic insertion sort, but by this time the data is guaranteed to be almost sorted, which is insertion sort's "best case".
Any sequence will sort the data as long as it ends in 1, but some work better than others.
Empirical studies have shown a geometric increment sequence with a ratio of about 2.2 work well in practice.
[1]
Other good sequences are found at the On-Line Encyclopedia of Integer Sequences.
| #Nim | Nim | proc shellSort[T](a: var openarray[T]) =
var h = a.len
while h > 0:
h = h div 2
for i in h ..< a.len:
let k = a[i]
var j = i
while j >= h and k < a[j-h]:
a[j] = a[j-h]
j -= h
a[j] = k
var a = @[4, 65, 2, -31, 0, 99, 2, 83, 782]
shellSort a
echo a |
http://rosettacode.org/wiki/Sorting_algorithms/Shell_sort | Sorting algorithms/Shell sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of elements using the Shell sort algorithm, a diminishing increment sort.
The Shell sort (also known as Shellsort or Shell's method) is named after its inventor, Donald Shell, who published the algorithm in 1959.
Shell sort is a sequence of interleaved insertion sorts based on an increment sequence.
The increment size is reduced after each pass until the increment size is 1.
With an increment size of 1, the sort is a basic insertion sort, but by this time the data is guaranteed to be almost sorted, which is insertion sort's "best case".
Any sequence will sort the data as long as it ends in 1, but some work better than others.
Empirical studies have shown a geometric increment sequence with a ratio of about 2.2 work well in practice.
[1]
Other good sequences are found at the On-Line Encyclopedia of Integer Sequences.
| #Objeck | Objeck |
bundle Default {
class ShellSort {
function : Main(args : String[]) ~ Nil {
a := [1, 3, 7, 21, 48, 112,336, 861, 1968, 4592, 13776,33936, 86961, 198768, 463792, 1391376,3402672, 8382192, 21479367, 49095696, 114556624,343669872, 52913488, 2085837936];
Shell(a);
each(i : a) {
IO.Console->Print(a[i])->Print(", ");
};
IO.Console->PrintLine();
}
function : native : Shell(a : Int[]) ~ Nil {
increment := a->Size() / 2;
while(increment > 0) {
for(i := increment; i < a->Size(); i += 1;) {
j := i;
temp := a[i];
while(j >= increment & a[j - increment] > temp) {
a[j] := a[j - increment];
j -= increment;
};
a[j] := temp;
};
if(increment = 2) {
increment := 1;
}
else {
increment *= (5.0 / 11);
};
};
}
}
}
|
http://rosettacode.org/wiki/Stack | Stack |
Data Structure
This illustrates a data structure, a means of storing data within a program.
You may see other such structures in the Data Structures category.
A stack is a container of elements with last in, first out access policy. Sometimes it also called LIFO.
The stack is accessed through its top.
The basic stack operations are:
push stores a new element onto the stack top;
pop returns the last pushed stack element, while removing it from the stack;
empty tests if the stack contains no elements.
Sometimes the last pushed stack element is made accessible for immutable access (for read) or mutable access (for write):
top (sometimes called peek to keep with the p theme) returns the topmost element without modifying the stack.
Stacks allow a very simple hardware implementation.
They are common in almost all processors.
In programming, stacks are also very popular for their way (LIFO) of resource management, usually memory.
Nested scopes of language objects are naturally implemented by a stack (sometimes by multiple stacks).
This is a classical way to implement local variables of a re-entrant or recursive subprogram. Stacks are also used to describe a formal computational framework.
See stack machine.
Many algorithms in pattern matching, compiler construction (e.g. recursive descent parsers), and machine learning (e.g. based on tree traversal) have a natural representation in terms of stacks.
Task
Create a stack supporting the basic operations: push, pop, empty.
See also
Array
Associative array: Creation, Iteration
Collections
Compound data type
Doubly-linked list: Definition, Element definition, Element insertion, List Traversal, Element Removal
Linked list
Queue: Definition, Usage
Set
Singly-linked list: Element definition, Element insertion, List Traversal, Element Removal
Stack
| #MATLAB_.2F_Octave | MATLAB / Octave | mystack = {};
% push
mystack{end+1} = x;
%pop
x = mystack{end}; mystack{end} = [];
%peek,top
x = mystack{end};
% empty
isempty(mystack) |
http://rosettacode.org/wiki/Spiral_matrix | Spiral matrix | Task
Produce a spiral array.
A spiral array is a square arrangement of the first N2 natural numbers, where the
numbers increase sequentially as you go around the edges of the array spiraling inwards.
For example, given 5, produce this array:
0 1 2 3 4
15 16 17 18 5
14 23 24 19 6
13 22 21 20 7
12 11 10 9 8
Related tasks
Zig-zag matrix
Identity_matrix
Ulam_spiral_(for_primes)
| #Oz | Oz | declare
fun {Spiral N}
%% create nested array
Arr = {Array.new 1 N unit}
for Y in 1..N do Arr.Y := {Array.new 1 N 0} end
%% fill it recursively with increasing numbers
C = {Counter 0}
in
{Fill Arr 1 N C}
Arr
end
proc {Fill Arr S E C}
%% go right
for X in S..E do
Arr.S.X := {C}
end
%% go down
for Y in S+1..E do
Arr.Y.E := {C}
end
%% go left
for X in E-1..S;~1 do
Arr.E.X := {C}
end
%% go up
for Y in E-1..S+1;~1 do
Arr.Y.S := {C}
end
%% fill the inner rectangle
if E - S > 1 then {Fill Arr S+1 E-1 C} end
end
fun {Counter N}
C = {NewCell N}
in
fun {$}
C := @C + 1
end
end
in
{Inspect {Spiral 5}} |
http://rosettacode.org/wiki/Sorting_algorithms/Radix_sort | Sorting algorithms/Radix sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an integer array with the radix sort algorithm.
The primary purpose is to complete the characterization of sort algorithms task.
| #QB64 | QB64 |
#lang QB64
'* don't be an a$$. Keep this credit notice with the source:
'* written/refactored by CodeGuy, 2018.
'* also works with negative numbers.
TESTN& = 63
A$ = ""
REDIM b(0 TO TESTN&) AS DOUBLE
FOR s& = -1 TO 1 STEP 2
A$ = A$ + CHR$(13) + CHR$(10) + "Random order:"
FOR i = 0 TO TESTN&
b(i) = (1000 * RND) AND 1023
IF i MOD 2 THEN b(i) = -b(i)
IF i < TESTN& THEN
A$ = A$ + LTRIM$(STR$(b(i))) + ","
ELSE
A$ = A$ + LTRIM$(STR$(b(i))) + CHR$(13) + CHR$(10)
END IF
NEXT
RadixSort b(), 0, TESTN&, s&
IF s& = -1 THEN
A$ = A$ + "descending order" + CHR$(13) + CHR$(10)
ELSE
A$ = A$ + "ascending order" + CHR$(13) + CHR$(10)
END IF
FOR i = 0 TO TESTN&
PRINT b(i);
IF i < TESTN& THEN
A$ = A$ + LTRIM$(STR$(b(i))) + ","
ELSE
A$ = A$ + LTRIM$(STR$(b(i))) + CHR$(13) + CHR$(10)
END IF
NEXT
NEXT
PRINT A$
TYPE MinMaxRec
min AS LONG
max AS LONG
END TYPE
SUB RadixSort (CGSortLibArr() AS DOUBLE, start&, finish&, order&)
ArrayIsInteger CGSortLibArr(), start&, finish&, errindex&, errcon&
IF errcon& THEN
'* use another stable sort and sort anyway
MergeSort CGSortLibArr(), start&, finish&, order&
ELSE
DIM RSMMrec AS MinMaxRec
GetMinMaxArray CGSortLibArr(), start&, finish&, RSMMrec
IF CGSortLibArr(RSMMrec.min) = CGSortLibArr(RSMMrec.max) THEN EXIT SUB '* no div0 bombs
delta# = CGSortLibArr(RSMMrec.max) - CGSortLibArr(RSMMrec.min)
DIM pow2 AS _UNSIGNED _INTEGER64
DIM NtmpN AS _UNSIGNED _INTEGER64
DIM Int64MaxShift AS _INTEGER64: Int64MaxShift = 2 ^ 64
REDIM ct&(-1 TO 1)
REDIM RadixCGSortLibArr(0 TO 1, finish& - start&) AS DOUBLE
SELECT CASE order&
CASE 1
pow2 = Int64MaxShift
bits& = LEN(Int64MaxShift) * 8
DO UNTIL bits& < 0
FOR i& = start& TO finish&
NtmpN = Int64MaxShift * (CGSortLibArr(i&) - CGSortLibArr(RSMMrec.min)) / (delta#)
IF NtmpN AND pow2 THEN
tmpradix% = 1
ELSE
tmpradix% = 0
END IF
RadixCGSortLibArr(tmpradix%, ct&(tmpradix%)) = CGSortLibArr(i&)
ct&(tmpradix%) = ct&(tmpradix%) + 1
NEXT
c& = start&
FOR i& = 0 TO 1
FOR j& = 0 TO ct&(i&) - 1
CGSortLibArr(c&) = RadixCGSortLibArr(i&, j&)
c& = c& + 1
NEXT
ct&(i&) = 0
NEXT
pow2 = pow2 / 2
bits& = bits& - 1
LOOP
CASE ELSE
pow2 = 1
FOR bits& = 0 TO 63
FOR i& = start& TO finish&
NtmpN = Int64MaxShift * (CGSortLibArr(i&) - CGSortLibArr(RSMMrec.min)) / (delta#)
IF NtmpN AND pow2 THEN
tmpradix% = 1
ELSE
tmpradix% = 0
END IF
RadixCGSortLibArr(tmpradix%, ct&(tmpradix%)) = CGSortLibArr(i&)
ct&(tmpradix%) = ct&(tmpradix%) + 1
NEXT
c& = start&
FOR i& = 0 TO 1
FOR j& = 0 TO ct&(i&) - 1
CGSortLibArr(c&) = RadixCGSortLibArr(i&, j&)
c& = c& + 1
NEXT
ct&(i&) = 0
NEXT
pow2 = pow2 * 2
NEXT
END SELECT
ERASE RadixCGSortLibArr, ct&
END IF
END SUB
SUB ArrayIsInteger (CGSortLibArr() AS DOUBLE, start&, finish&, errorindex&, IsInt&)
IsInt& = 1
errorindex& = start&
FOR IsIntegerS& = start& TO finish&
IF CGSortLibArr(IsIntegerS&) MOD 1 THEN
errorindex& = IsIntegerS&
IsInt& = 0
EXIT FUNCTION
END IF
NEXT
END FUNCTION
SUB MergeSort (CGSortLibArr() AS DOUBLE, start&, finish&, order&)
SELECT CASE finish& - start&
CASE IS > 31
middle& = start& + (finish& - start&) \ 2
MergeSort CGSortLibArr(), start&, middle&, order&
MergeSort CGSortLibArr(), middle& + 1, finish&, order&
'IF order& = 1 THEN
EfficientMerge CGSortLibArr(), start&, finish&, order&
'ELSE
' MergeRoutine CGSortLibArr(), start&, finish&, order&
'END IF
CASE IS > 0
InsertionSort CGSortLibArr(), start&, finish&, order&
END SELECT
END SUB
SUB EfficientMerge (right() AS DOUBLE, start&, finish&, order&)
half& = start& + (finish& - start&) \ 2
REDIM left(start& TO half&) AS DOUBLE '* hold the first half of the array in left() -- must be the same type as right()
FOR LoadLeft& = start& TO half&
left(LoadLeft&) = right(LoadLeft&)
NEXT
SELECT CASE order&
CASE 1
i& = start&
j& = half& + 1
insert& = start&
DO
IF i& > half& THEN '* left() exhausted
IF j& > finish& THEN '* right() exhausted
EXIT DO
ELSE
'* stuff remains in right to be inserted, so flush right()
WHILE j& <= finish&
right(insert&) = right(j&)
j& = j& + 1
insert& = insert& + 1
WEND
EXIT DO
'* and exit
END IF
ELSE
IF j& > finish& THEN
WHILE i& < LoadLeft&
right(insert&) = left(i&)
i& = i& + 1
insert& = insert& + 1
WEND
EXIT DO
ELSE
IF right(j&) < left(i&) THEN
right(insert&) = right(j&)
j& = j& + 1
ELSE
right(insert&) = left(i&)
i& = i& + 1
END IF
insert& = insert& + 1
END IF
END IF
LOOP
CASE ELSE
i& = start&
j& = half& + 1
insert& = start&
DO
IF i& > half& THEN '* left() exhausted
IF j& > finish& THEN '* right() exhausted
EXIT DO
ELSE
'* stuff remains in right to be inserted, so flush right()
WHILE j& <= finish&
right(insert&) = right(j&)
j& = j& + 1
insert& = insert& + 1
WEND
EXIT DO
'* and exit
END IF
ELSE
IF j& > finish& THEN
WHILE i& < LoadLeft&
right(insert&) = left(i&)
i& = i& + 1
insert& = insert& + 1
WEND
EXIT DO
ELSE
IF right(j&) > left(i&) THEN
right(insert&) = right(j&)
j& = j& + 1
ELSE
right(insert&) = left(i&)
i& = i& + 1
END IF
insert& = insert& + 1
END IF
END IF
LOOP
END SELECT
ERASE left
END SUB
SUB GetMinMaxArray (CGSortLibArr() AS DOUBLE, Start&, Finish&, GetMinMaxArray_minmax AS MinMaxRec)
DIM GetGetMinMaxArray_minmaxArray_i AS LONG
DIM GetMinMaxArray_n AS LONG
DIM GetMinMaxArray_TT AS LONG
DIM GetMinMaxArray_NMod2 AS INTEGER
'* this is a workaround for the irritating malfunction
'* of MOD using larger numbers and small divisors
GetMinMaxArray_n = Finish& - Start&
GetMinMaxArray_TT = GetMinMaxArray_n MOD 10000
GetMinMaxArray_NMod2 = GetMinMaxArray_n - 10000 * ((GetMinMaxArray_n - GetMinMaxArray_TT) / 10000)
IF (GetMinMaxArray_NMod2 MOD 2) THEN
GetMinMaxArray_minmax.min = Start&
GetMinMaxArray_minmax.max = Start&
GetGetMinMaxArray_minmaxArray_i = Start& + 1
ELSE
IF CGSortLibArr(Start&) > CGSortLibArr(Finish&) THEN
GetMinMaxArray_minmax.max = Start&
GetMinMaxArray_minmax.min = Finish&
ELSE
GetMinMaxArray_minmax.min = Finish&
GetMinMaxArray_minmax.max = Start&
END IF
GetGetMinMaxArray_minmaxArray_i = Start& + 2
END IF
WHILE GetGetMinMaxArray_minmaxArray_i < Finish&
IF CGSortLibArr(GetGetMinMaxArray_minmaxArray_i) > CGSortLibArr(GetGetMinMaxArray_minmaxArray_i + 1) THEN
IF CGSortLibArr(GetGetMinMaxArray_minmaxArray_i) > CGSortLibArr(GetMinMaxArray_minmax.max) THEN
GetMinMaxArray_minmax.max = GetGetMinMaxArray_minmaxArray_i
END IF
IF CGSortLibArr(GetGetMinMaxArray_minmaxArray_i + 1) < CGSortLibArr(GetMinMaxArray_minmax.min) THEN
GetMinMaxArray_minmax.min = GetGetMinMaxArray_minmaxArray_i + 1
END IF
ELSE
IF CGSortLibArr(GetGetMinMaxArray_minmaxArray_i + 1) > CGSortLibArr(GetMinMaxArray_minmax.max) THEN
GetMinMaxArray_minmax.max = GetGetMinMaxArray_minmaxArray_i + 1
END IF
IF CGSortLibArr(GetGetMinMaxArray_minmaxArray_i) < CGSortLibArr(GetMinMaxArray_minmax.min) THEN
GetMinMaxArray_minmax.min = GetGetMinMaxArray_minmaxArray_i
END IF
END IF
GetGetMinMaxArray_minmaxArray_i = GetGetMinMaxArray_minmaxArray_i + 2
WEND
END SUB
SUB InsertionSort (CGSortLibArr() AS DOUBLE, start AS LONG, finish AS LONG, order&)
DIM InSort_Local_ArrayTemp AS DOUBLE
DIM InSort_Local_i AS LONG
DIM InSort_Local_j AS LONG
SELECT CASE order&
CASE 1
FOR InSort_Local_i = start + 1 TO finish
InSort_Local_ArrayTemp = CGSortLibArr(InSort_Local_i)
InSort_Local_j = InSort_Local_i - 1
DO UNTIL InSort_Local_j < start
IF (InSort_Local_ArrayTemp < CGSortLibArr(InSort_Local_j)) THEN
CGSortLibArr(InSort_Local_j + 1) = CGSortLibArr(InSort_Local_j)
InSort_Local_j = InSort_Local_j - 1
ELSE
EXIT DO
END IF
LOOP
CGSortLibArr(InSort_Local_j + 1) = InSort_Local_ArrayTemp
NEXT
CASE ELSE
FOR InSort_Local_i = start + 1 TO finish
InSort_Local_ArrayTemp = CGSortLibArr(InSort_Local_i)
InSort_Local_j = InSort_Local_i - 1
DO UNTIL InSort_Local_j < start
IF (InSort_Local_ArrayTemp > CGSortLibArr(InSort_Local_j)) THEN
CGSortLibArr(InSort_Local_j + 1) = CGSortLibArr(InSort_Local_j)
InSort_Local_j = InSort_Local_j - 1
ELSE
EXIT DO
END IF
LOOP
CGSortLibArr(InSort_Local_j + 1) = InSort_Local_ArrayTemp
NEXT
END SELECT
END SUB
|
http://rosettacode.org/wiki/Sorting_algorithms/Radix_sort | Sorting algorithms/Radix sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an integer array with the radix sort algorithm.
The primary purpose is to complete the characterization of sort algorithms task.
| #Quackery | Quackery | [ stack ] is digit ( --> s )
[ behead swap witheach min ] is smallest ( [ --> n )
[ [] over smallest
rot witheach
[ over -
rot swap join swap ]
swap
0 digit put
dup size temp put
[ ' [ [ ] ] 16 of
constant
swap witheach
[ dup dip
[ digit share
>> 15 &
2dup peek ]
join
unrot poke ]
dup 0 peek size
temp share != while
behead swap
witheach join
4 digit tally again ]
behead nip
temp release
digit release
[] unrot
witheach
[ over +
rot swap join swap ]
drop ] is radixsort ( [ --> [ )
[] 256 times
[ 1999 random 999 - join ]
radixsort
16 times
[ 16 times
[ behead
dup 0 > if sp
dup abs dup
10 < if sp
100 < if sp
echo sp ] cr ]
drop |
http://rosettacode.org/wiki/Sorting_algorithms/Quicksort | Sorting algorithms/Quicksort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Quicksort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Task
Sort an array (or list) elements using the quicksort algorithm.
The elements must have a strict weak order and the index of the array can be of any discrete type.
For languages where this is not possible, sort an array of integers.
Quicksort, also known as partition-exchange sort, uses these steps.
Choose any element of the array to be the pivot.
Divide all other elements (except the pivot) into two partitions.
All elements less than the pivot must be in the first partition.
All elements greater than the pivot must be in the second partition.
Use recursion to sort both partitions.
Join the first sorted partition, the pivot, and the second sorted partition.
The best pivot creates partitions of equal length (or lengths differing by 1).
The worst pivot creates an empty partition (for example, if the pivot is the first or last element of a sorted array).
The run-time of Quicksort ranges from O(n log n) with the best pivots, to O(n2) with the worst pivots, where n is the number of elements in the array.
This is a simple quicksort algorithm, adapted from Wikipedia.
function quicksort(array)
less, equal, greater := three empty arrays
if length(array) > 1
pivot := select any element of array
for each x in array
if x < pivot then add x to less
if x = pivot then add x to equal
if x > pivot then add x to greater
quicksort(less)
quicksort(greater)
array := concatenate(less, equal, greater)
A better quicksort algorithm works in place, by swapping elements within the array, to avoid the memory allocation of more arrays.
function quicksort(array)
if length(array) > 1
pivot := select any element of array
left := first index of array
right := last index of array
while left ≤ right
while array[left] < pivot
left := left + 1
while array[right] > pivot
right := right - 1
if left ≤ right
swap array[left] with array[right]
left := left + 1
right := right - 1
quicksort(array from first index to right)
quicksort(array from left to last index)
Quicksort has a reputation as the fastest sort. Optimized variants of quicksort are common features of many languages and libraries. One often contrasts quicksort with merge sort, because both sorts have an average time of O(n log n).
"On average, mergesort does fewer comparisons than quicksort, so it may be better when complicated comparison routines are used. Mergesort also takes advantage of pre-existing order, so it would be favored for using sort() to merge several sorted arrays. On the other hand, quicksort is often faster for small arrays, and on arrays of a few distinct values, repeated many times." — http://perldoc.perl.org/sort.html
Quicksort is at one end of the spectrum of divide-and-conquer algorithms, with merge sort at the opposite end.
Quicksort is a conquer-then-divide algorithm, which does most of the work during the partitioning and the recursive calls. The subsequent reassembly of the sorted partitions involves trivial effort.
Merge sort is a divide-then-conquer algorithm. The partioning happens in a trivial way, by splitting the input array in half. Most of the work happens during the recursive calls and the merge phase.
With quicksort, every element in the first partition is less than or equal to every element in the second partition. Therefore, the merge phase of quicksort is so trivial that it needs no mention!
This task has not specified whether to allocate new arrays, or sort in place. This task also has not specified how to choose the pivot element. (Common ways to are to choose the first element, the middle element, or the median of three elements.) Thus there is a variety among the following implementations.
| #Bracmat | Bracmat | ( ( Q
= Less Greater Equal pivot element
. !arg:%(?pivot:?Equal) %?arg
& :?Less:?Greater
& whl
' ( !arg:%?element ?arg
& (.!element)+(.!pivot) { BAD: 1900+90 adds to 1990, GOOD: (.1900)+(.90) is sorted to (.90)+(.1900) }
: ( (.!element)+(.!pivot)
& !element !Less:?Less
| (.!pivot)+(.!element)
& !element !Greater:?Greater
| ?&!element !Equal:?Equal
)
)
& Q$!Less !Equal Q$!Greater
| !arg
)
& out$Q$(1900 optimized variants of 4001/2 Quicksort (quick,sort) are (quick,sober) features of 90 languages)
); |
http://rosettacode.org/wiki/Sorting_algorithms/Patience_sort | Sorting algorithms/Patience sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Sort an array of numbers (of any convenient size) into ascending order using Patience sorting.
Related task
Longest increasing subsequence
| #Modula-2 | Modula-2 | MODULE PatienceSortTask;
FROM STextIO IMPORT WriteString;
FROM STextIO IMPORT WriteLn;
FROM WholeStr IMPORT IntToStr;
CONST MaxSortSize = 1024; (* A power of two. *)
MaxWinnersSize = (2 * MaxSortSize) - 1;
TYPE PilesArrayType = ARRAY [1 .. MaxSortSize] OF INTEGER;
WinnersArrayType = ARRAY [1 .. MaxWinnersSize],
[1 .. 2] OF INTEGER;
VAR ExampleNumbers : ARRAY [0 .. 35] OF INTEGER;
SortedIndices : ARRAY [0 .. 25] OF INTEGER;
i : INTEGER;
NumStr : ARRAY [0 .. 2] OF CHAR;
PROCEDURE NextPowerOfTwo (n : INTEGER) : INTEGER;
VAR Pow2 : INTEGER;
BEGIN
(* This need not be a fast implementation. *)
Pow2 := 1;
WHILE Pow2 < n DO
Pow2 := Pow2 + Pow2;
END;
RETURN Pow2;
END NextPowerOfTwo;
PROCEDURE InitPilesArray (VAR Arr : PilesArrayType);
VAR i : INTEGER;
BEGIN
FOR i := 1 TO MaxSortSize DO
Arr[i] := 0;
END;
END InitPilesArray;
PROCEDURE InitWinnersArray (VAR Arr : WinnersArrayType);
VAR i : INTEGER;
BEGIN
FOR i := 1 TO MaxWinnersSize DO
Arr[i, 1] := 0;
Arr[i, 2] := 0;
END;
END InitWinnersArray;
PROCEDURE IntegerPatienceSort (iFirst, iLast : INTEGER;
Arr : ARRAY OF INTEGER;
VAR Sorted : ARRAY OF INTEGER);
VAR NumPiles : INTEGER;
Piles, Links : PilesArrayType;
Winners : WinnersArrayType;
PROCEDURE FindPile (q : INTEGER) : INTEGER;
(*
Bottenbruch search for the leftmost pile whose top is greater
than or equal to some element x. Return an index such that:
* if x is greater than the top element at the far right, then
the index returned will be num-piles.
* otherwise, x is greater than every top element to the left of
index, and less than or equal to the top elements at index
and to the right of index.
References:
* H. Bottenbruch, "Structure and use of ALGOL 60", Journal of
the ACM, Volume 9, Issue 2, April 1962, pp.161-221.
https://doi.org/10.1145/321119.321120
The general algorithm is described on pages 214 and 215.
* https://en.wikipedia.org/w/index.php?title=Binary_search_algorithm&oldid=1062988272#Alternative_procedure
*)
VAR i, j, k, Index : INTEGER;
BEGIN
IF NumPiles = 0 THEN
Index := 1;
ELSE
j := 0;
k := NumPiles - 1;
WHILE j <> k DO
i := (j + k) DIV 2;
IF Arr[Piles[j + 1] + iFirst - 1] < Arr[q + iFirst - 1] THEN
j := i + 1;
ELSE
k := i;
END;
END;
IF j = NumPiles - 1 THEN
IF Arr[Piles[j + 1] + iFirst - 1] < Arr[q + iFirst - 1] THEN
(* A new pile is needed. *)
j := j + 1;
END;
END;
Index := j + 1;
END;
RETURN Index;
END FindPile;
PROCEDURE Deal;
VAR i, q : INTEGER;
BEGIN
FOR q := 1 TO iLast - iFirst + 1 DO
i := FindPile (q);
Links[q] := Piles[i];
Piles[i] := q;
IF i = NumPiles + 1 THEN
NumPiles := i;
END;
END;
END Deal;
PROCEDURE KWayMerge;
(*
k-way merge by tournament tree.
See Knuth, volume 3, and also
https://en.wikipedia.org/w/index.php?title=K-way_merge_algorithm&oldid=1047851465#Tournament_Tree
However, I store a winners tree instead of the recommended
losers tree. If the tree were stored as linked nodes, it would
probably be more efficient to store a losers tree. However, I
am storing the tree as an array, and one can find an opponent
quickly by simply toggling the least significant bit of a
competitor's array index.
*)
VAR TotalExternalNodes : INTEGER;
TotalNodes : INTEGER;
iSorted, i, Next : INTEGER;
PROCEDURE FindOpponent (i : INTEGER) : INTEGER;
VAR Opponent : INTEGER;
BEGIN
IF ODD (i) THEN
Opponent := i - 1;
ELSE
Opponent := i + 1;
END;
RETURN Opponent;
END FindOpponent;
PROCEDURE PlayGame (i : INTEGER) : INTEGER;
VAR j, iWinner : INTEGER;
BEGIN
j := FindOpponent (i);
IF Winners[i, 1] = 0 THEN
iWinner := j;
ELSIF Winners[j, 1] = 0 THEN
iWinner := i;
ELSIF Arr[Winners[j, 1] + iFirst - 1]
< Arr[Winners[i, 1] + iFirst - 1] THEN
iWinner := j;
ELSE
iWinner := i;
END;
RETURN iWinner;
END PlayGame;
PROCEDURE ReplayGames (i : INTEGER);
VAR j, iWinner : INTEGER;
BEGIN
j := i;
WHILE j <> 1 DO
iWinner := PlayGame (j);
j := j DIV 2;
Winners[j, 1] := Winners[iWinner, 1];
Winners[j, 2] := Winners[iWinner, 2];
END;
END ReplayGames;
PROCEDURE BuildTree;
VAR iStart, i, iWinner : INTEGER;
BEGIN
FOR i := 1 TO TotalExternalNodes DO
(* Record which pile a winner will have come from. *)
Winners[TotalExternalNodes - 1 + i, 2] := i;
END;
FOR i := 1 TO NumPiles DO
(* The top of each pile becomes a starting competitor. *)
Winners[TotalExternalNodes + i - 1, 1] := Piles[i];
END;
FOR i := 1 TO NumPiles DO
(* Discard the top of each pile. *)
Piles[i] := Links[Piles[i]];
END;
iStart := TotalExternalNodes;
WHILE iStart <> 1 DO
FOR i := iStart TO (2 * iStart) - 1 BY 2 DO
iWinner := PlayGame (i);
Winners[i DIV 2, 1] := Winners[iWinner, 1];
Winners[i DIV 2, 2] := Winners[iWinner, 2];
END;
iStart := iStart DIV 2;
END;
END BuildTree;
BEGIN
TotalExternalNodes := NextPowerOfTwo (NumPiles);
TotalNodes := (2 * TotalExternalNodes) - 1;
BuildTree;
iSorted := 0;
WHILE Winners[1, 1] <> 0 DO
Sorted[iSorted] := Winners[1, 1] + iFirst - 1;
iSorted := iSorted + 1;
i := Winners[1, 2];
Next := Piles[i]; (* The next top of pile i. *)
IF Next <> 0 THEN
Piles[i] := Links[Next]; (* Drop that top. *)
END;
i := (TotalNodes DIV 2) + i;
Winners[i, 1] := Next;
ReplayGames (i);
END;
END KWayMerge;
BEGIN
NumPiles := 0;
InitPilesArray (Piles);
InitPilesArray (Links);
InitWinnersArray (Winners);
IF MaxSortSize < iLast - iFirst + 1 THEN
WriteString ('This subarray is too large for the program.');
WriteLn;
HALT;
ELSE
Deal;
KWayMerge;
END;
END IntegerPatienceSort;
BEGIN
ExampleNumbers[10] := 22;
ExampleNumbers[11] := 15;
ExampleNumbers[12] := 98;
ExampleNumbers[13] := 82;
ExampleNumbers[14] := 22;
ExampleNumbers[15] := 4;
ExampleNumbers[16] := 58;
ExampleNumbers[17] := 70;
ExampleNumbers[18] := 80;
ExampleNumbers[19] := 38;
ExampleNumbers[20] := 49;
ExampleNumbers[21] := 48;
ExampleNumbers[22] := 46;
ExampleNumbers[23] := 54;
ExampleNumbers[24] := 93;
ExampleNumbers[25] := 8;
ExampleNumbers[26] := 54;
ExampleNumbers[27] := 2;
ExampleNumbers[28] := 72;
ExampleNumbers[29] := 84;
ExampleNumbers[30] := 86;
ExampleNumbers[31] := 76;
ExampleNumbers[32] := 53;
ExampleNumbers[33] := 37;
ExampleNumbers[34] := 90;
IntegerPatienceSort (10, 34, ExampleNumbers, SortedIndices);
WriteString ("unsorted ");
FOR i := 10 TO 34 DO
WriteString (" ");
IntToStr (ExampleNumbers[i], NumStr);
WriteString (NumStr);
END;
WriteLn;
WriteString ("sorted ");
FOR i := 0 TO 24 DO
WriteString (" ");
IntToStr (ExampleNumbers[SortedIndices[i]], NumStr);
WriteString (NumStr);
END;
WriteLn;
END PatienceSortTask. |
http://rosettacode.org/wiki/Sorting_algorithms/Insertion_sort | Sorting algorithms/Insertion sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Insertion sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
An O(n2) sorting algorithm which moves elements one at a time into the correct position.
The algorithm consists of inserting one element at a time into the previously sorted part of the array, moving higher ranked elements up as necessary.
To start off, the first (or smallest, or any arbitrary) element of the unsorted array is considered to be the sorted part.
Although insertion sort is an O(n2) algorithm, its simplicity, low overhead, good locality of reference and efficiency make it a good choice in two cases:
small n,
as the final finishing-off algorithm for O(n logn) algorithms such as mergesort and quicksort.
The algorithm is as follows (from wikipedia):
function insertionSort(array A)
for i from 1 to length[A]-1 do
value := A[i]
j := i-1
while j >= 0 and A[j] > value do
A[j+1] := A[j]
j := j-1
done
A[j+1] = value
done
Writing the algorithm for integers will suffice.
| #Bash | Bash | #!/bin/bash
# Sorting integers with insertion sort
function insertion_sort ()
{
# input: unsorted integer array
# output: sorted integer array (ascending)
# local variables
local -a arr # array
local -i i # integers
local -i j
local -i key
local -i prev
local -i leftval
local -i N # size of array
arr=( $@ ) # copy args into array
N=${#arr[*]} # arr extent
readonly N # make const
# insertion sort
for (( i=1; i<$N; i++ )) # c-style for loop
do
key=$((arr[$i])) # current value
prev=$((arr[$i-1])) # previous value
j=$i # current index
while [ $j -gt 0 ] && [ $key -lt $prev ] # inner loop
do
arr[$j]=$((arr[$j-1])) # shift
j=$(($j-1)) # decrement
prev=$((arr[$j-1])) # last value
done
arr[$j]=$(($key)) # insert key in proper order
done
echo ${arr[*]} # output sorted array
}
################
function main ()
{
# main script
declare -a sorted
# use a default if no cmdline list
if [ $# -eq 0 ]; then
arr=(10 8 20 100 -3 12 4 -5 32 0 1)
else
arr=($@) #cmdline list of ints
fi
echo
echo "original"
echo -e "\t ${arr[*]} \n"
sorted=($(insertion_sort ${arr[*]})) # call function
echo
echo "sorted:"
echo -e "\t ${sorted[*]} \n"
}
#script starts here
# source or run
if [[ "$0" == "bash" ]]; then # script is sourced
unset main
else
main "$@" # call with cmdline args
fi
#END |
http://rosettacode.org/wiki/Sorting_algorithms/Permutation_sort | Sorting algorithms/Permutation sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a permutation sort, which proceeds by generating the possible permutations
of the input array/list until discovering the sorted one.
Pseudocode:
while not InOrder(list) do
nextPermutation(list)
done
| #Raku | Raku | # Lexicographic permuter from "Permutations" task.
sub next_perm ( @a ) {
my $j = @a.end - 1;
$j-- while $j >= 1 and [>] @a[ $j, $j+1 ];
my $aj = @a[$j];
my $k = @a.end;
$k-- while [>] $aj, @a[$k];
@a[ $j, $k ] .= reverse;
my Int $r = @a.end;
my Int $s = $j + 1;
while $r > $s {
@a[ $r, $s ] .= reverse;
$r--;
$s++;
}
}
sub permutation_sort ( @a ) {
my @n = @a.keys;
my $perm_count = [*] 1 .. +@n; # Factorial
for ^$perm_count {
my @permuted_a = @a[ @n ];
return @permuted_a if [le] @permuted_a;
next_perm(@n);
}
}
my @data = < c b e d a >; # Halfway between abcde and edcba
say 'Input = ' ~ @data;
say 'Output = ' ~ @data.&permutation_sort;
|
http://rosettacode.org/wiki/Sorting_algorithms/Heapsort | Sorting algorithms/Heapsort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Heapsort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Heapsort is an in-place sorting algorithm with worst case and average complexity of O(n logn).
The basic idea is to turn the array into a binary heap structure, which has the property that it allows efficient retrieval and removal of the maximal element.
We repeatedly "remove" the maximal element from the heap, thus building the sorted list from back to front.
A heap sort requires random access, so can only be used on an array-like data structure.
Pseudocode:
function heapSort(a, count) is
input: an unordered array a of length count
(first place a in max-heap order)
heapify(a, count)
end := count - 1
while end > 0 do
(swap the root(maximum value) of the heap with the
last element of the heap)
swap(a[end], a[0])
(decrement the size of the heap so that the previous
max value will stay in its proper place)
end := end - 1
(put the heap back in max-heap order)
siftDown(a, 0, end)
function heapify(a,count) is
(start is assigned the index in a of the last parent node)
start := (count - 2) / 2
while start ≥ 0 do
(sift down the node at index start to the proper place
such that all nodes below the start index are in heap
order)
siftDown(a, start, count-1)
start := start - 1
(after sifting down the root all nodes/elements are in heap order)
function siftDown(a, start, end) is
(end represents the limit of how far down the heap to sift)
root := start
while root * 2 + 1 ≤ end do (While the root has at least one child)
child := root * 2 + 1 (root*2+1 points to the left child)
(If the child has a sibling and the child's value is less than its sibling's...)
if child + 1 ≤ end and a[child] < a[child + 1] then
child := child + 1 (... then point to the right child instead)
if a[root] < a[child] then (out of max-heap order)
swap(a[root], a[child])
root := child (repeat to continue sifting down the child now)
else
return
Write a function to sort a collection of integers using heapsort.
| #Ada | Ada | generic
type Element_Type is private;
type Index_Type is (<>);
type Collection is array(Index_Type range <>) of Element_Type;
with function "<" (Left, right : element_type) return boolean is <>;
procedure Generic_Heapsort(Item : in out Collection); |
http://rosettacode.org/wiki/Sorting_algorithms/Merge_sort | Sorting algorithms/Merge sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
The merge sort is a recursive sort of order n*log(n).
It is notable for having a worst case and average complexity of O(n*log(n)), and a best case complexity of O(n) (for pre-sorted input).
The basic idea is to split the collection into smaller groups by halving it until the groups only have one element or no elements (which are both entirely sorted groups).
Then merge the groups back together so that their elements are in order.
This is how the algorithm gets its divide and conquer description.
Task
Write a function to sort a collection of integers using the merge sort.
The merge sort algorithm comes in two parts:
a sort function and
a merge function
The functions in pseudocode look like this:
function mergesort(m)
var list left, right, result
if length(m) ≤ 1
return m
else
var middle = length(m) / 2
for each x in m up to middle - 1
add x to left
for each x in m at and after middle
add x to right
left = mergesort(left)
right = mergesort(right)
if last(left) ≤ first(right)
append right to left
return left
result = merge(left, right)
return result
function merge(left,right)
var list result
while length(left) > 0 and length(right) > 0
if first(left) ≤ first(right)
append first(left) to result
left = rest(left)
else
append first(right) to result
right = rest(right)
if length(left) > 0
append rest(left) to result
if length(right) > 0
append rest(right) to result
return result
See also
the Wikipedia entry: merge sort
Note: better performance can be expected if, rather than recursing until length(m) ≤ 1, an insertion sort is used for length(m) smaller than some threshold larger than 1. However, this complicates the example code, so it is not shown here.
| #ActionScript | ActionScript | function mergesort(a:Array)
{
//Arrays of length 1 and 0 are always sorted
if(a.length <= 1) return a;
else
{
var middle:uint = a.length/2;
//split the array into two
var left:Array = new Array(middle);
var right:Array = new Array(a.length-middle);
var j:uint = 0, k:uint = 0;
//fill the left array
for(var i:uint = 0; i < middle; i++)
left[j++]=a[i];
//fill the right array
for(i = middle; i< a.length; i++)
right[k++]=a[i];
//sort the arrays
left = mergesort(left);
right = mergesort(right);
//If the last element of the left array is less than or equal to the first
//element of the right array, they are in order and don't need to be merged
if(left[left.length-1] <= right[0])
return left.concat(right);
a = merge(left, right);
return a;
}
}
function merge(left:Array, right:Array)
{
var result:Array = new Array(left.length + right.length);
var j:uint = 0, k:uint = 0, m:uint = 0;
//merge the arrays in order
while(j < left.length && k < right.length)
{
if(left[j] <= right[k])
result[m++] = left[j++];
else
result[m++] = right[k++];
}
//If one of the arrays has remaining entries that haven't been merged, they
//will be greater than the rest of the numbers merged so far, so put them on the
//end of the array.
for(; j < left.length; j++)
result[m++] = left[j];
for(; k < right.length; k++)
result[m++] = right[k];
return result;
} |
http://rosettacode.org/wiki/Sorting_algorithms/Pancake_sort | Sorting algorithms/Pancake sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of integers (of any convenient size) into ascending order using Pancake sorting.
In short, instead of individual elements being sorted, the only operation allowed is to "flip" one end of the list, like so:
Before: 6 7 8 9 2 5 3 4 1
After: 9 8 7 6 2 5 3 4 1
Only one end of the list can be flipped; this should be the low end, but the high end is okay if it's easier to code or works better, but it must be the same end for the entire solution. (The end flipped can't be arbitrarily changed.)
Show both the initial, unsorted list and the final sorted list.
(Intermediate steps during sorting are optional.)
Optimizations are optional (but recommended).
Related tasks
Number reversal game
Topswops
Also see
Wikipedia article: pancake sorting.
| #J | J | flip=: C.~ C.@i.@-
unsorted=: #~ 1 , [: >./\. 2 >/\ ]
FlDown=: flip 1 + (i. >./)@unsorted
FlipUp=: flip 1 >. [:+/>./\&|.@(< {.)
pancake=: FlipUp@FlDown^:_ |
http://rosettacode.org/wiki/Sorting_algorithms/Pancake_sort | Sorting algorithms/Pancake sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of integers (of any convenient size) into ascending order using Pancake sorting.
In short, instead of individual elements being sorted, the only operation allowed is to "flip" one end of the list, like so:
Before: 6 7 8 9 2 5 3 4 1
After: 9 8 7 6 2 5 3 4 1
Only one end of the list can be flipped; this should be the low end, but the high end is okay if it's easier to code or works better, but it must be the same end for the entire solution. (The end flipped can't be arbitrarily changed.)
Show both the initial, unsorted list and the final sorted list.
(Intermediate steps during sorting are optional.)
Optimizations are optional (but recommended).
Related tasks
Number reversal game
Topswops
Also see
Wikipedia article: pancake sorting.
| #Java | Java |
public class PancakeSort
{
int[] heap;
public String toString() {
String info = "";
for (int x: heap)
info += x + " ";
return info;
}
public void flip(int n) {
for (int i = 0; i < (n+1) / 2; ++i) {
int tmp = heap[i];
heap[i] = heap[n-i];
heap[n-i] = tmp;
}
System.out.println("flip(0.." + n + "): " + toString());
}
public int[] minmax(int n) {
int xm, xM;
xm = xM = heap[0];
int posm = 0, posM = 0;
for (int i = 1; i < n; ++i) {
if (heap[i] < xm) {
xm = heap[i];
posm = i;
}
else if (heap[i] > xM) {
xM = heap[i];
posM = i;
}
}
return new int[] {posm, posM};
}
public void sort(int n, int dir) {
if (n == 0) return;
int[] mM = minmax(n);
int bestXPos = mM[dir];
int altXPos = mM[1-dir];
boolean flipped = false;
if (bestXPos == n-1) {
--n;
}
else if (bestXPos == 0) {
flip(n-1);
--n;
}
else if (altXPos == n-1) {
dir = 1-dir;
--n;
flipped = true;
}
else {
flip(bestXPos);
}
sort(n, dir);
if (flipped) {
flip(n);
}
}
PancakeSort(int[] numbers) {
heap = numbers;
sort(numbers.length, 1);
}
public static void main(String[] args) {
int[] numbers = new int[args.length];
for (int i = 0; i < args.length; ++i)
numbers[i] = Integer.valueOf(args[i]);
PancakeSort pancakes = new PancakeSort(numbers);
System.out.println(pancakes);
}
} |
http://rosettacode.org/wiki/Sorting_algorithms/Stooge_sort | Sorting algorithms/Stooge sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Stooge sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Task
Show the Stooge Sort for an array of integers.
The Stooge Sort algorithm is as follows:
algorithm stoogesort(array L, i = 0, j = length(L)-1)
if L[j] < L[i] then
L[i] ↔ L[j]
if j - i > 1 then
t := (j - i + 1)/3
stoogesort(L, i , j-t)
stoogesort(L, i+t, j )
stoogesort(L, i , j-t)
return L
| #Phix | Phix | with javascript_semantics
function stoogesort(sequence s, integer i=1, j=length(s))
if s[j]<s[i] then
{s[i],s[j]} = {s[j],s[i]}
end if
if j-i>1 then
integer t = floor((j-i+1)/3)
s = stoogesort(s,i, j-t)
s = stoogesort(s,i+t,j )
s = stoogesort(s,i, j-t)
end if
return s
end function
?stoogesort(shuffle(tagset(10)))
|
http://rosettacode.org/wiki/Sorting_algorithms/Selection_sort | Sorting algorithms/Selection sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array (or list) of elements using the Selection sort algorithm.
It works as follows:
First find the smallest element in the array and exchange it with the element in the first position, then find the second smallest element and exchange it with the element in the second position, and continue in this way until the entire array is sorted.
Its asymptotic complexity is O(n2) making it inefficient on large arrays.
Its primary purpose is for when writing data is very expensive (slow) when compared to reading, eg. writing to flash memory or EEPROM.
No other sorting algorithm has less data movement.
References
Rosetta Code: O (complexity).
Wikipedia: Selection sort.
Wikipedia: [Big O notation].
| #Gambas | Gambas |
siLow As Short = -99 'Set the lowest value number to create
siHigh As Short = 99 'Set the highest value number to create
siQty As Short = 20 'Set the quantity of numbers to create
Public Sub Main()
Dim siToSort As Short[] = CreateNumbersToSort()
Dim siPos, siLow, siChar, siCount As Short
PrintOut("To sort: ", siToSort)
For siCount = 0 To siToSort.Max
siChar = siCount
For siPos = siCount + 1 To siToSort.Max
If siToSort[siChar] > siToSort[siPos] Then siChar = siPos
Next
siLow = siToSort[siChar]
siToSort.Delete(siChar, 1)
siToSort.Add(siLow, siCount)
Next
PrintOut(" Sorted: ", siToSort)
End
'---------------------------------------------------------
Public Sub PrintOut(sText As String, siToSort As String[])
Dim siCount As Short
Print sText;
For siCount = 0 To siToSort.Max
Print siToSort[siCount];
If siCount <> siToSort.max Then Print ", ";
Next
Print
End
'---------------------------------------------------------
Public Sub CreateNumbersToSort() As Short[]
Dim siCount As Short
Dim siList As New Short[]
For siCount = 0 To siQty
siList.Add(Rand(siLow, siHigh))
Next
Return siList
End |
http://rosettacode.org/wiki/Soundex | Soundex | Soundex is an algorithm for creating indices for words based on their pronunciation.
Task
The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling (from the soundex Wikipedia article).
Caution
There is a major issue in many of the implementations concerning the separation of two consonants that have the same soundex code! According to the official Rules [[1]]. So check for instance if Ashcraft is coded to A-261.
If a vowel (A, E, I, O, U) separates two consonants that have the same soundex code, the consonant to the right of the vowel is coded. Tymczak is coded as T-522 (T, 5 for the M, 2 for the C, Z ignored (see "Side-by-Side" rule above), 2 for the K). Since the vowel "A" separates the Z and K, the K is coded.
If "H" or "W" separate two consonants that have the same soundex code, the consonant to the right of the vowel is not coded. Example: Ashcraft is coded A-261 (A, 2 for the S, C ignored, 6 for the R, 1 for the F). It is not coded A-226.
| #IS-BASIC | IS-BASIC | 100 PROGRAM "Soundex.bas"
110 FOR I=1 TO 20
120 READ NAME$
130 PRINT """";NAME$;"""";TAB(20);SOUNDEX$(NAME$)
140 NEXT
150 DEF SOUNDEX$(NAME$)
160 NUMERIC I,N,P
170 LET NAME$=UCASE$(NAME$):LET S$=NAME$(1)
180 LET N$="01230129022455012623019202"
190 LET P=VAL(N$(ORD(S$)-64))
200 FOR I=2 TO LEN(NAME$)
210 LET N=VAL(N$(ORD(NAME$(I))-64))
220 IF N<>0 AND N<>9 AND N<>P THEN LET S$=S$&STR$(N)
230 IF N<>9 THEN LET P=N
240 NEXT
250 LET S$=S$&"000"
260 LET SOUNDEX$=S$(1:4)
270 END DEF
280 DATA Aschraft,Ashcroft,Euler,Gauss,Ghosh,Hilbert,Heilbronn,Lee,Lissajous,Lloyd
290 DATA Moses,Pfister,Robert,Rupert,Rubin,Tymczak,VanDeusen,Wheaton,Soundex,Example |
http://rosettacode.org/wiki/Sorting_algorithms/Shell_sort | Sorting algorithms/Shell sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an array of elements using the Shell sort algorithm, a diminishing increment sort.
The Shell sort (also known as Shellsort or Shell's method) is named after its inventor, Donald Shell, who published the algorithm in 1959.
Shell sort is a sequence of interleaved insertion sorts based on an increment sequence.
The increment size is reduced after each pass until the increment size is 1.
With an increment size of 1, the sort is a basic insertion sort, but by this time the data is guaranteed to be almost sorted, which is insertion sort's "best case".
Any sequence will sort the data as long as it ends in 1, but some work better than others.
Empirical studies have shown a geometric increment sequence with a ratio of about 2.2 work well in practice.
[1]
Other good sequences are found at the On-Line Encyclopedia of Integer Sequences.
| #OCaml | OCaml | let shellsort a =
let len = Array.length a in
let incSequence = [| 412771; 165103; 66041; 26417; 10567;
4231; 1693; 673; 269; 107; 43; 17; 7; 3; 1 |] in
Array.iter (fun increment ->
if (increment * 2) <= len then
for i = increment to pred len do
let temp = a.(i) in
let rec loop j =
if j < 0 || a.(j) <= temp then (j)
else begin
a.(j + increment) <- a.(j);
loop (j - increment)
end
in
let j = loop (i - increment) in
a.(j + increment) <- temp;
done;
) incSequence;
;; |
http://rosettacode.org/wiki/Stack | Stack |
Data Structure
This illustrates a data structure, a means of storing data within a program.
You may see other such structures in the Data Structures category.
A stack is a container of elements with last in, first out access policy. Sometimes it also called LIFO.
The stack is accessed through its top.
The basic stack operations are:
push stores a new element onto the stack top;
pop returns the last pushed stack element, while removing it from the stack;
empty tests if the stack contains no elements.
Sometimes the last pushed stack element is made accessible for immutable access (for read) or mutable access (for write):
top (sometimes called peek to keep with the p theme) returns the topmost element without modifying the stack.
Stacks allow a very simple hardware implementation.
They are common in almost all processors.
In programming, stacks are also very popular for their way (LIFO) of resource management, usually memory.
Nested scopes of language objects are naturally implemented by a stack (sometimes by multiple stacks).
This is a classical way to implement local variables of a re-entrant or recursive subprogram. Stacks are also used to describe a formal computational framework.
See stack machine.
Many algorithms in pattern matching, compiler construction (e.g. recursive descent parsers), and machine learning (e.g. based on tree traversal) have a natural representation in terms of stacks.
Task
Create a stack supporting the basic operations: push, pop, empty.
See also
Array
Associative array: Creation, Iteration
Collections
Compound data type
Doubly-linked list: Definition, Element definition, Element insertion, List Traversal, Element Removal
Linked list
Queue: Definition, Usage
Set
Singly-linked list: Element definition, Element insertion, List Traversal, Element Removal
Stack
| #Maxima | Maxima | /* lists can be used as stacks; Maxima provides pop and push */
load(basic)$
a: []$
push(25, a)$
push(7, a)$
pop(a);
emptyp(a);
length(a); |
http://rosettacode.org/wiki/Spiral_matrix | Spiral matrix | Task
Produce a spiral array.
A spiral array is a square arrangement of the first N2 natural numbers, where the
numbers increase sequentially as you go around the edges of the array spiraling inwards.
For example, given 5, produce this array:
0 1 2 3 4
15 16 17 18 5
14 23 24 19 6
13 22 21 20 7
12 11 10 9 8
Related tasks
Zig-zag matrix
Identity_matrix
Ulam_spiral_(for_primes)
| #PARI.2FGP | PARI/GP | spiral(dim) = {
my (M = matrix(dim, dim), p = s = 1, q = i = 0);
for (n=1, dim,
for (b=1, dim-n+1, M[p,q+=s] = i; i++);
for (b=1, dim-n, M[p+=s,q] = i; i++);
s = -s;
);
M
} |
http://rosettacode.org/wiki/Sorting_algorithms/Radix_sort | Sorting algorithms/Radix sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an integer array with the radix sort algorithm.
The primary purpose is to complete the characterization of sort algorithms task.
| #Racket | Racket |
#lang Racket
(define (radix-sort l r)
(define queues (for/vector #:length r ([_ r]) (make-queue)))
(let loop ([l l] [R 1])
(define all-zero? #t)
(for ([x (in-list l)])
(define x/R (quotient x R))
(enqueue! (vector-ref queues (modulo x/R r)) x)
(unless (zero? x/R) (set! all-zero? #f)))
(if all-zero? l
(loop (let q-loop ([i 0])
(define q (vector-ref queues i))
(let dq-loop ()
(if (queue-empty? q)
(if (< i (sub1 r)) (q-loop (add1 i)) '())
(cons (dequeue! q) (dq-loop)))))
(* R r)))))
(for/and ([i 10000]) ; run some tests on random lists with a random radix
(define (make-random-list)
(for/list ([i (+ 10 (random 10))]) (random 100000)))
(define (sorted? l)
(match l [(list) #t] [(list x) #t]
[(list x y more ...) (and (<= x y) (sorted? (cons y more)))]))
(sorted? (radix-sort (make-random-list) (+ 2 (random 98)))))
;; => #t, so all passed
|
http://rosettacode.org/wiki/Sorting_algorithms/Radix_sort | Sorting algorithms/Radix sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Sort an integer array with the radix sort algorithm.
The primary purpose is to complete the characterization of sort algorithms task.
| #Raku | Raku | sub radsort (@ints) {
my $maxlen = max @ints».chars;
my @list = @ints».fmt("\%0{$maxlen}d");
for reverse ^$maxlen -> $r {
my @buckets = @list.classify( *.substr($r,1) ).sort: *.key;
@buckets[0].value = @buckets[0].value.reverse.List
if !$r and @buckets[0].key eq '-';
@list = flat map *.value.values, @buckets;
}
@list».Int;
}
.say for radsort (-2_000 .. 2_000).roll(20); |
http://rosettacode.org/wiki/Sorting_algorithms/Quicksort | Sorting algorithms/Quicksort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Quicksort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Task
Sort an array (or list) elements using the quicksort algorithm.
The elements must have a strict weak order and the index of the array can be of any discrete type.
For languages where this is not possible, sort an array of integers.
Quicksort, also known as partition-exchange sort, uses these steps.
Choose any element of the array to be the pivot.
Divide all other elements (except the pivot) into two partitions.
All elements less than the pivot must be in the first partition.
All elements greater than the pivot must be in the second partition.
Use recursion to sort both partitions.
Join the first sorted partition, the pivot, and the second sorted partition.
The best pivot creates partitions of equal length (or lengths differing by 1).
The worst pivot creates an empty partition (for example, if the pivot is the first or last element of a sorted array).
The run-time of Quicksort ranges from O(n log n) with the best pivots, to O(n2) with the worst pivots, where n is the number of elements in the array.
This is a simple quicksort algorithm, adapted from Wikipedia.
function quicksort(array)
less, equal, greater := three empty arrays
if length(array) > 1
pivot := select any element of array
for each x in array
if x < pivot then add x to less
if x = pivot then add x to equal
if x > pivot then add x to greater
quicksort(less)
quicksort(greater)
array := concatenate(less, equal, greater)
A better quicksort algorithm works in place, by swapping elements within the array, to avoid the memory allocation of more arrays.
function quicksort(array)
if length(array) > 1
pivot := select any element of array
left := first index of array
right := last index of array
while left ≤ right
while array[left] < pivot
left := left + 1
while array[right] > pivot
right := right - 1
if left ≤ right
swap array[left] with array[right]
left := left + 1
right := right - 1
quicksort(array from first index to right)
quicksort(array from left to last index)
Quicksort has a reputation as the fastest sort. Optimized variants of quicksort are common features of many languages and libraries. One often contrasts quicksort with merge sort, because both sorts have an average time of O(n log n).
"On average, mergesort does fewer comparisons than quicksort, so it may be better when complicated comparison routines are used. Mergesort also takes advantage of pre-existing order, so it would be favored for using sort() to merge several sorted arrays. On the other hand, quicksort is often faster for small arrays, and on arrays of a few distinct values, repeated many times." — http://perldoc.perl.org/sort.html
Quicksort is at one end of the spectrum of divide-and-conquer algorithms, with merge sort at the opposite end.
Quicksort is a conquer-then-divide algorithm, which does most of the work during the partitioning and the recursive calls. The subsequent reassembly of the sorted partitions involves trivial effort.
Merge sort is a divide-then-conquer algorithm. The partioning happens in a trivial way, by splitting the input array in half. Most of the work happens during the recursive calls and the merge phase.
With quicksort, every element in the first partition is less than or equal to every element in the second partition. Therefore, the merge phase of quicksort is so trivial that it needs no mention!
This task has not specified whether to allocate new arrays, or sort in place. This task also has not specified how to choose the pivot element. (Common ways to are to choose the first element, the middle element, or the median of three elements.) Thus there is a variety among the following implementations.
| #C | C |
#include <stdio.h>
void quicksort(int *A, int len);
int main (void) {
int a[] = {4, 65, 2, -31, 0, 99, 2, 83, 782, 1};
int n = sizeof a / sizeof a[0];
int i;
for (i = 0; i < n; i++) {
printf("%d ", a[i]);
}
printf("\n");
quicksort(a, n);
for (i = 0; i < n; i++) {
printf("%d ", a[i]);
}
printf("\n");
return 0;
}
void quicksort(int *A, int len) {
if (len < 2) return;
int pivot = A[len / 2];
int i, j;
for (i = 0, j = len - 1; ; i++, j--) {
while (A[i] < pivot) i++;
while (A[j] > pivot) j--;
if (i >= j) break;
int temp = A[i];
A[i] = A[j];
A[j] = temp;
}
quicksort(A, i);
quicksort(A + i, len - i);
}
|
http://rosettacode.org/wiki/Sorting_algorithms/Patience_sort | Sorting algorithms/Patience sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Sort an array of numbers (of any convenient size) into ascending order using Patience sorting.
Related task
Longest increasing subsequence
| #Nim | Nim | import std/decls
func patienceSort[T](a: var openArray[T]) =
if a.len < 2: return
var piles: seq[seq[T]]
for elem in a:
block processElem:
for pile in piles.mitems:
if pile[^1] > elem:
pile.add(elem)
break processElem
piles.add(@[elem])
for i in 0..a.high:
var min = piles[0][^1]
var minPileIndex = 0
for j in 1..piles.high:
if piles[j][^1] < min:
min = piles[j][^1]
minPileIndex = j
a[i] = min
var minPile {.byAddr.} = piles[minPileIndex]
minPile.setLen(minpile.len - 1)
if minPile.len == 0: piles.delete(minPileIndex)
when isMainModule:
var iArray = [4, 65, 2, -31, 0, 99, 83, 782, 1]
iArray.patienceSort()
echo iArray
var cArray = ['n', 'o', 'n', 'z', 'e', 'r', 'o', 's', 'u','m']
cArray.patienceSort()
echo cArray
var sArray = ["dog", "cow", "cat", "ape", "ant", "man", "pig", "ass", "gnu"]
sArray.patienceSort()
echo sArray |
http://rosettacode.org/wiki/Sorting_algorithms/Insertion_sort | Sorting algorithms/Insertion sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Insertion sort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
An O(n2) sorting algorithm which moves elements one at a time into the correct position.
The algorithm consists of inserting one element at a time into the previously sorted part of the array, moving higher ranked elements up as necessary.
To start off, the first (or smallest, or any arbitrary) element of the unsorted array is considered to be the sorted part.
Although insertion sort is an O(n2) algorithm, its simplicity, low overhead, good locality of reference and efficiency make it a good choice in two cases:
small n,
as the final finishing-off algorithm for O(n logn) algorithms such as mergesort and quicksort.
The algorithm is as follows (from wikipedia):
function insertionSort(array A)
for i from 1 to length[A]-1 do
value := A[i]
j := i-1
while j >= 0 and A[j] > value do
A[j+1] := A[j]
j := j-1
done
A[j+1] = value
done
Writing the algorithm for integers will suffice.
| #B4X | B4X | Sub InsertionSort (A() As Int)
For i = 1 To A.Length - 1
Dim value As Int = A(i)
Dim j As Int = i - 1
Do While j >= 0 And A(j) > value
A(j + 1) = A(j)
j = j - 1
Loop
A(j + 1) = value
Next
End Sub
Sub Test
Dim arr() As Int = Array As Int(34, 23, 54, 123, 543, 123)
InsertionSort(arr)
For Each i As Int In arr
Log(i)
Next
End Sub
|
http://rosettacode.org/wiki/Sorting_algorithms/Permutation_sort | Sorting algorithms/Permutation sort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
Task
Implement a permutation sort, which proceeds by generating the possible permutations
of the input array/list until discovering the sorted one.
Pseudocode:
while not InOrder(list) do
nextPermutation(list)
done
| #REXX | REXX | /*REXX program sorts and displays an array using the permutation-sort method. */
call gen /*generate the array elements. */
call show 'before sort' /*show the before array elements. */
say copies('░', 75) /*show separator line between displays.*/
call pSort L /*invoke the permutation sort. */
call show ' after sort' /*show the after array elements. */
say; say 'Permutation sort took ' ? " permutations to find the sorted list."
exit /*stick a fork in it, we're all done. */
/*──────────────────────────────────────────────────────────────────────────────────────*/
.pAdd: #=#+1; do j=1 for N; #.#=#.# !.j; end; return /*add a permutation.*/
show: do j=1 for L; say @e right(j, wL) arg(1)":" translate(@.j, , '_'); end; return
/*──────────────────────────────────────────────────────────────────────────────────────*/
gen: @.=; @.1 = '---Four_horsemen_of_the_Apocalypse---'
@.2 = '====================================='
@.3 = 'Famine───black_horse'
@.4 = 'Death───pale_horse'
@.5 = 'Pestilence_[Slaughter]───red_horse'
@.6 = 'Conquest_[War]───white_horse'
@e= right('element', 15) /*literal used for the display.*/
do L=1 while @.L\==''; @@[email protected]; end; L= L-1; wL=length(L); return
/*──────────────────────────────────────────────────────────────────────────────────────*/
isOrd: parse arg q /*see if Q list is in order. */
_= word(q, 1); do j=2 to words(q); x= word(q, j); if x<_ then return 0; _= x
end /*j*/ /* [↑] Out of order? ¬sorted*/
do k=1 for #; _= word(#.?, k); @.k= @@._; end /*k*/; return 1 /*in order*/
/*──────────────────────────────────────────────────────────────────────────────────────*/
.pNxt: procedure expose !.; parse arg n,i; nm= n - 1
do k=nm by -1 for nm; kp= k + 1
if !.k<!.kp then do; i= k; leave; end
end /*k*/ /* [↓] swap two array elements*/
do j=i+1 while j<n; parse value !.j !.n with !.n !.j; n= n-1; end /*j*/
if i==0 then return 0 /*0: indicates no more perms. */
do j=i+1 while !.j<!.i; end /*j*/ /*search perm for a lower value*/
parse value !.j !.i with !.i !.j; return 1 /*swap two values in !. array.*/
/*──────────────────────────────────────────────────────────────────────────────────────*/
pSort: parse arg n,#.; #= 0 /*generate L items (!) permutations.*/
do f=1 for n; !.f= f; end /*f*/; call .pAdd
do while .pNxt(n, 0); call .pAdd; end /*while*/
do ?=1 until isOrd($); $= /*find permutation.*/
do m=1 for #; _= word(#.?, m); $= $ @._; end /*m*/ /*build the $ list.*/
end /*?*/; return |
http://rosettacode.org/wiki/Sorting_algorithms/Heapsort | Sorting algorithms/Heapsort |
Sorting Algorithm
This is a sorting algorithm. It may be applied to a set of data in order to sort it.
For comparing various sorts, see compare sorts.
For other sorting algorithms, see sorting algorithms, or:
O(n logn) sorts
Heap sort |
Merge sort |
Patience sort |
Quick sort
O(n log2n) sorts
Shell Sort
O(n2) sorts
Bubble sort |
Cocktail sort |
Cocktail sort with shifting bounds |
Comb sort |
Cycle sort |
Gnome sort |
Insertion sort |
Selection sort |
Strand sort
other sorts
Bead sort |
Bogo sort |
Common sorted list |
Composite structures sort |
Custom comparator sort |
Counting sort |
Disjoint sublist sort |
External sort |
Jort sort |
Lexicographical sort |
Natural sorting |
Order by pair comparisons |
Order disjoint list items |
Order two numerical lists |
Object identifier (OID) sort |
Pancake sort |
Quickselect |
Permutation sort |
Radix sort |
Ranking methods |
Remove duplicate elements |
Sleep sort |
Stooge sort |
[Sort letters of a string] |
Three variable sort |
Topological sort |
Tree sort
This page uses content from Wikipedia. The original article was at Heapsort. The list of authors can be seen in the page history. As with Rosetta Code, the text of Wikipedia is available under the GNU FDL. (See links for details on variance)
Heapsort is an in-place sorting algorithm with worst case and average complexity of O(n logn).
The basic idea is to turn the array into a binary heap structure, which has the property that it allows efficient retrieval and removal of the maximal element.
We repeatedly "remove" the maximal element from the heap, thus building the sorted list from back to front.
A heap sort requires random access, so can only be used on an array-like data structure.
Pseudocode:
function heapSort(a, count) is
input: an unordered array a of length count
(first place a in max-heap order)
heapify(a, count)
end := count - 1
while end > 0 do
(swap the root(maximum value) of the heap with the
last element of the heap)
swap(a[end], a[0])
(decrement the size of the heap so that the previous
max value will stay in its proper place)
end := end - 1
(put the heap back in max-heap order)
siftDown(a, 0, end)
function heapify(a,count) is
(start is assigned the index in a of the last parent node)
start := (count - 2) / 2
while start ≥ 0 do
(sift down the node at index start to the proper place
such that all nodes below the start index are in heap
order)
siftDown(a, start, count-1)
start := start - 1
(after sifting down the root all nodes/elements are in heap order)
function siftDown(a, start, end) is
(end represents the limit of how far down the heap to sift)
root := start
while root * 2 + 1 ≤ end do (While the root has at least one child)
child := root * 2 + 1 (root*2+1 points to the left child)
(If the child has a sibling and the child's value is less than its sibling's...)
if child + 1 ≤ end and a[child] < a[child + 1] then
child := child + 1 (... then point to the right child instead)
if a[root] < a[child] then (out of max-heap order)
swap(a[root], a[child])
root := child (repeat to continue sifting down the child now)
else
return
Write a function to sort a collection of integers using heapsort.
| #ALGOL_68 | ALGOL 68 | #--- Swap function ---#
PROC swap = (REF []INT array, INT first, INT second) VOID:
(
INT temp := array[first];
array[first] := array[second];
array[second]:= temp
);
#--- Heap sort Move Down ---#
PROC heapmove = (REF []INT array, INT i, INT last) VOID:
(
INT index := i;
INT larger := (index*2);
WHILE larger <= last DO
IF larger < last THEN IF array[larger] < array[larger+1] THEN
larger +:= 1
FI FI;
IF array[index] < array[larger] THEN
swap(array, index, larger)
FI;
index := larger;
larger := (index*2)
OD
);
#--- Heap sort ---#
PROC heapsort = (REF []INT array) VOID:
(
FOR i FROM ENTIER((UPB array) / 2) BY -1 WHILE
heapmove(array, i, UPB array);
i > 1 DO SKIP OD;
FOR i FROM UPB array BY -1 WHILE
swap(array, 1, i);
heapmove(array, 1, i-1);
i > 1 DO SKIP OD
);
#***************************************************************#
main:
(
[10]INT a;
FOR i FROM 1 TO UPB a DO
a[i] := ROUND(random*100)
OD;
print(("Before:", a));
print((newline, newline));
heapsort(a);
print(("After: ", a))
) |
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