Optimized QuickSort — C Implementation (Non-Recursive)
Optimized QuickSort — C Implementation (Non-Recursive) August 2005, July 2007 NOTE 2010.02.25: I’ve received a few e-mails over the past few years telling me that my implementation of QuickSort may not be an improvement over the popular, recursive implementation. When I have time, I plan to perform my own comprehensive speed tests. Until then, don’t take the below information as gospel! Perform
マルチキー・クイックソート(multikey-quicksort)で高速に文字列ソート - EchizenBlog-Zwei
一般にソートアルゴリズムの計算量はソート対象となるデータ数NについてO(N^2)とかO(NlogN)等で評価する。数値データのソートであれば特に問題はないのだが、文字列データの場合は一回の比較に対して文字列長Mに比例する計算量O(M)がかかってしまう。例えばクイックソートであればO(NlogN)ではなくO(MNlogN)となる。よってMが非常に大きい場合はソート性能の劣化を招く。 文字列ソートに付いてはBently&Sedgewickのマルチキー・クイックソート(multikey-quicksort)という改良版クイックソートが存在する。このソート法は、ある工夫によって一回の比較を文字列長Mに依存しない形で実現している。 例えば文字列appleとapplicationの比較について考える。 # 先頭の文字を比較 [a]pple = [a]pplication # 2文字目を比較 a[p]p
A Killer Adversary for Quicksort
SOFTWARE—PRACTICE AND EXPERIENCE, VOL. 29(0), 1–4 (0 1999) A Killer Adversary for Quicksort M. D. MCILROY Dartmouth College, Hanover, NH 03755, USA SUMMARY Quicksort can be made to go quadratic by constructing input on the fly in response to the sequence of items compared. The technique is illustrated by a specific adversary for the standard C qsort function. The general method works against any i
Why is quicksort better than other sorting algorithms in practice?
This is a repost of a question on cs.SE by Janoma. Full credits and spoils to him or cs.SE. In a standard algorithms course we are taught that quicksort is O(n log n) on average and O(n²) in the worst case. At the same time, other sorting algorithms are studied which are O(n log n) in the worst case (like mergesort and heapsort), and even linear time in the best case (like bubblesort) but with som
Is it possible to speed up a quicksort with par in Haskell?
I have got this seemingly trivial parallel quicksort implementation, the code is as follows: import System.Random import Control.Parallel import Data.List quicksort :: Ord a => [a] -> [a] quicksort xs = pQuicksort 16 xs -- 16 is the number of sparks used to sort -- pQuicksort, parallelQuicksort -- As long as n > 0 evaluates the lower and upper part of the list in parallel, -- when we have recursed
Dual-Pivot Quicksort Vladimir Yaroslavskiy iaroslavski@mail.ru First revision: February 16, 2009 Last updated: September 22, 2009 Introduction Sorting data is one of the most fundamental problems in Computer Science, especially if the arranging objects a
Dual-Pivot Quicksort Vladimir Yaroslavskiy iaroslavski@mail.ru First revision: February 16, 2009 Last updated: September 22, 2009 Introduction Sorting data is one of the most fundamental problems in Computer Science, especially if the arranging objects are primitive ones, such as integers, bytes, floats, etc. Since sorting methods play an important role in the operation of computers and other dat
Quicksort Java algorithm - Examples Java Code Geeks - 2025
In this article, we will discuss the implementation of Quicksort Java algorithm. Quicksort is the most widely used sorting algorithm. Quick sort is faster than most other common sorting algorithms. It was developed by the famous Computer Scientist Tony Hoare and it is based on the Divide and Conquer Algorithm. First, we are going to explain how Quick sort works on an algorithmic level, with some s
QuickSort v. Native Sort · jsPerf
JavaScript performance comparison Test case created by a on 2014-8-25 Preparation code <script> Benchmark.prototype.setup = function() { var inputArray = Array.apply(null, new Array(1e4)).map(function(e) { return ~~(Math.random() * 1e4); }); function quickSort(array) { var sorted = array.slice(0); return (function sort(left, right) { if (left < right) { var pivot = sorted[(left + right) >> 1]; var
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http://en.literateprograms.org/Quicksort_(Erlang)
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Functional Programming – QuickSort and Fibonacci (Memoization)
Functional Programming – QuickSort and Fibonacci (Memoization) GoRuCo 2013 – Functional Programming and Ruby by Pat Shaughnessy The above is a nice session video which talks about the Ruby’s functional programming aspect, by comparing it with Haskell. There’re many topics are covered, but I found interesting about the quick sort and fibonacci examples. QuickSort In the beginning, Haskell’s quick s
sort: improve average quicksort performance · golang/go@6f6b2f0
- change way of protection from O(N^2) on duplicate values. Previous algorithm does additional comparisons and swaps on every split pass. Changed algorithm does one ordinal quicksort split pass, and if distribution is skewed, then additional pass to separate pivot's duplicates. Changed algorithm could be slower on very ununique slice, but it is still protected from O(N^2). - increase small slice s
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https://upload.wikimedia.org/wikipedia/commons/f/fe/Quicksort.gif
A Simple Quicksort Implementation in Ruby | Open.nfo
Why Arrays.sort is quicksort algorithm, why not another sort algorithm?
The Sound of Quicksort
Code Project
style: Quicksort rules to avoid allocation of temporary vectors. by pcwalton · Pull Request #1567 · servo/servo
Quicksort VI
