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{{multiple issues|
{{notability|date=December 2011}}
{{refimprove|date=August 2010}}
}}


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{{Infobox Algorithm
|class=[[Sorting algorithm]]
|image=[[File:Sorting gnomesort anim.gif]]
|caption=Visualisation of Gnome sort.
|data=[[Array data structure|Array]]
|time=<math>O(n^2)</math>
|best-time=<math>O(n)</math>
|average-time= <math>O(n^2)</math>
|space= <math>O(1)</math> auxiliary
|optimal= No
}}
'''Gnome sort (Stupid sort)''', originally proposed by Dr. [[Hamid Sarbazi-Azad]] (Professor of Computer Engineering at [[Sharif University of Technology]]) in 2000 and called [http://sina.sharif.edu/~azad/stupid-sort.PDF Stupid sort] (not to be confused with [[Bogosort]]), and then later on described by [[Dick Grune]] and named "Gnome sort",<ref>http://www.dickgrune.com/Programs/gnomesort.html</ref> is a [[sorting algorithm]] which is similar to [[insertion sort]], except that moving an element to its proper place is accomplished by a series of swaps, as in [[bubble sort]]. It is conceptually simple, requiring no nested loops. The running time is <math>O(n^2)</math>, but tends towards <math>O(n)</math> if the list is initially almost sorted.<ref>{{cite web |
url=http://xlinux.nist.gov/dads/HTML/gnomeSort.html |
title=gnome sort|
work=Dictionary of Algorithms and Data Structures |
publisher=U.S. National Institute of Standards and Technology|
author=Paul E. Black|
accessdate=2011-08-20
}}</ref> In practice the algorithm can run as fast as [[Insertion sort]]{{citation needed|date=April 2012}}. The average runtime is <math>O(n^2)</math>.
 
The algorithm always finds the first place where two adjacent elements are in the wrong order, and swaps them. It takes advantage of the fact that performing a swap can introduce a new out-of-order adjacent pair only right before or after the two swapped elements. It does not assume that elements forward of the current position are sorted, so it only needs to check the position directly before the swapped elements.
 
== Description ==
Here is [[pseudocode]] for the gnome sort using a [[Array_data_type#Index_origin|zero-based array]]:
 
<code>
procedure gnomeSort(a[])
    pos := 1
    while pos < length(a)
        if (a[pos] >= a[pos-1])
            pos := pos + 1
        else
            swap a[pos] and a[pos-1]
            if (pos > 1)
                pos := pos - 1
            end if
        end if
    end while
end procedure
</code>
 
===Example===
Given an unsorted array, a = [5, 3, 2, 4], the gnome sort would take the following
steps during the while loop. The "current position" is highlighted in '''bold''':
 
{|    class="wikitable"
|-
! Current array
! Action to take
|-
|    [5, '''3''', 2, 4]
|    a[pos] < a[pos-1], swap:
|-
|    [3, '''5''', 2, 4]
|    a[pos] >= a[pos-1], increment pos:
|-
|    [3, 5, '''2''', 4]
|    a[pos] < a[pos-1], swap and pos > 1, decrement pos:
|-
|    [3, '''2''', 5, 4]
|    a[pos] < a[pos-1], swap and pos <= 1, increment pos:
|-
|    [2, 3, '''5''', 4]
|    a[pos] >= a[pos-1], increment pos:
|-
|    [2, 3, 5, '''4''']
|    a[pos] < a[pos-1], swap and pos > 1, decrement pos:
|-
|    [2, 3, '''4''', 5]
|    a[pos] >= a[pos-1], increment pos:
|-
|    [2, 3, 4, '''5''']
|    a[pos] >= a[pos-1], increment pos:
|-
|    [2, 3, 4, 5]
|    pos == length(a), finished.
|-
|}
 
==Optimization==
The gnome sort may be optimized by introducing a variable to store the position before
traversing back toward the beginning of the list. This would allow the "gnome" to [[Teleportation|teleport]]
back to his previous position after moving a flower pot. With this optimization, the gnome
sort would become a variant of the [[insertion sort]]. The animation in the introduction to this topic takes advantage of this optimization.
 
Here is [[pseudocode]] for an optimized gnome sort using a [[Array_data_type#Index_origin|zero-based array]]:
<code>
procedure optimizedGnomeSort(a[])
    pos := 1
    last := 0
    while pos < length(a)
        if (a[pos] >= a[pos-1])
            if (last != 0)
                pos := last
                last := 0
            end if
            pos := pos + 1
        else
            swap a[pos] and a[pos-1]
            if (pos > 1)
                if (last == 0)
                    last := pos
                end if
                pos := pos - 1
            else
                pos := pos + 1
            end if
        end if
    end while
end procedure
</code>
 
==References==
<references/>
 
==External links==
{{wikibooks|Algorithm implementation|Sorting/Gnome_sort|Gnome sort}}
* [http://dickgrune.com/Programs/gnomesort.html Gnome sort]
 
{{sorting}}
 
{{DEFAULTSORT:Gnome Sort}}
[[Category:Sorting algorithms]]
[[Category:Comparison sorts]]
[[Category:Stable sorts]]

Revision as of 01:14, 12 March 2013

Template:Multiple issues

Template:Infobox Algorithm Gnome sort (Stupid sort), originally proposed by Dr. Hamid Sarbazi-Azad (Professor of Computer Engineering at Sharif University of Technology) in 2000 and called Stupid sort (not to be confused with Bogosort), and then later on described by Dick Grune and named "Gnome sort",[1] is a sorting algorithm which is similar to insertion sort, except that moving an element to its proper place is accomplished by a series of swaps, as in bubble sort. It is conceptually simple, requiring no nested loops. The running time is O(n2), but tends towards O(n) if the list is initially almost sorted.[2] In practice the algorithm can run as fast as Insertion sortPotter or Ceramic Artist Truman Bedell from Rexton, has interests which include ceramics, best property developers in singapore developers in singapore and scrabble. Was especially enthused after visiting Alejandro de Humboldt National Park.. The average runtime is O(n2).

The algorithm always finds the first place where two adjacent elements are in the wrong order, and swaps them. It takes advantage of the fact that performing a swap can introduce a new out-of-order adjacent pair only right before or after the two swapped elements. It does not assume that elements forward of the current position are sorted, so it only needs to check the position directly before the swapped elements.

Description

Here is pseudocode for the gnome sort using a zero-based array:

procedure gnomeSort(a[])
    pos := 1
    while pos < length(a)
        if (a[pos] >= a[pos-1])
            pos := pos + 1
        else
            swap a[pos] and a[pos-1]
            if (pos > 1)
                pos := pos - 1
            end if
        end if
    end while
end procedure

Example

Given an unsorted array, a = [5, 3, 2, 4], the gnome sort would take the following steps during the while loop. The "current position" is highlighted in bold:

Current array Action to take
[5, 3, 2, 4] a[pos] < a[pos-1], swap:
[3, 5, 2, 4] a[pos] >= a[pos-1], increment pos:
[3, 5, 2, 4] a[pos] < a[pos-1], swap and pos > 1, decrement pos:
[3, 2, 5, 4] a[pos] < a[pos-1], swap and pos <= 1, increment pos:
[2, 3, 5, 4] a[pos] >= a[pos-1], increment pos:
[2, 3, 5, 4] a[pos] < a[pos-1], swap and pos > 1, decrement pos:
[2, 3, 4, 5] a[pos] >= a[pos-1], increment pos:
[2, 3, 4, 5] a[pos] >= a[pos-1], increment pos:
[2, 3, 4, 5] pos == length(a), finished.

Optimization

The gnome sort may be optimized by introducing a variable to store the position before traversing back toward the beginning of the list. This would allow the "gnome" to teleport back to his previous position after moving a flower pot. With this optimization, the gnome sort would become a variant of the insertion sort. The animation in the introduction to this topic takes advantage of this optimization.

Here is pseudocode for an optimized gnome sort using a zero-based array:

procedure optimizedGnomeSort(a[])
    pos := 1
    last := 0
    while pos < length(a)
        if (a[pos] >= a[pos-1])
            if (last != 0)
                pos := last
                last := 0
            end if
            pos := pos + 1
        else
            swap a[pos] and a[pos-1]
            if (pos > 1)
                if (last == 0)
                    last := pos
                end if
                pos := pos - 1
            else
                pos := pos + 1
            end if
        end if
    end while
end procedure

References

External links

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