We all know that Quicksort is one of the fastest algorithms for sorting. It's not often, however, that we get a chance to see exactly how fast Quicksort really is. The following applets chart the progress of several common sorting algorithms while sorting an array of data using in-place algorithms. This means that the algorithms do not allocate additional storage to hold temporary results: they sort the data in place. (This is inspired by the algorithm animation work at Brown University and the video Sorting out Sorting from the University of Toronto (circa 1970!).)
Some of these sorts are very stupid or very slow and should not be used in code. The use of Bubblesort is deprecated. So don't use Bubblesort! Also, don't use Swapsort! It is only a demonstration of the amount of time Java takes to swap n elements.
In-Place Mergesort is yet another abomination. Mergesort is supposed
to run in O(n log n), but the implementation here runs in O(n * n). This
is because a temporary scratch array is not used. As with
most of
the examples here, In-Place Mergesort sorts the elements in the array without
using additional storage (other than the stack used for the recursive calls,
and temporary variables). Jack Snoeyink has provided me with a the Double
Storage mergesort algorithm sort implementation that uses a scratch array.
Click on each applet to see the algorithm run.
Click on the
name of the algorithm to see the source.
The source code for the SortAlgorithm
class and the SortItem
class are available.
Sorting routines to be added:
 | Three way merge. |
| Quicksort with duplicated pivots. |
| Random Swap sort. |
| Bubblesort with early termincation. |
| Quicksort that sorts the shorter list first. |
| Quicksort that sorts lists of size < 30 with Insertion sort. |
| Quicksort using Van Emden's exchange procedure for partitioning. |
| Variants of Mergesort, including the "correct" method. |
| Radix sorts. |
| Samplesort. |
| Counting of element comparisons and element swaps. |
| Counting of loop comparisons. |
| Counting of recursive calls. |
The bibliography appearing at the end of this article lists 37 sorting algorithms and 100 books and papers on sorting published in the last 20 years. The ideas presented here have been abstracted from this body of work, and the best algorithms known are given as examples. As the algorithms are explained, references to related algorithms and mathematical or experimental analyses are given. Suggestions are then made for choosing the algorithm best suited to a given situation.
Originally created by
James
Gosling, jag@firstperson.com
Jason Harrison, harrison@cs.ubc.ca
Jim
Boritz, boritz@cs.ubc.ca
Thanks to Jean-Luc
Duprat who rebuilt this page for Netscape 2.0 and recompiled the applets
with the JDK.
Thanks to Guido Bunsen who put the applets into a table on this page
Peter Brummund is the author of The
Complete Collection of Algorithm Animations if you're looking for more
animated algorithms.