quicksort

Why bother with comparison sorts?

为君一笑 提交于 2019-12-21 10:16:32
问题 Algorithms like Timsort, Quicksort & Mergesort dominate the " real world " sorting methods. The case for these comparison sorts is quite practical — they've been shown to be the most performant, stable, multipurpose sorting algorithms in a wide variety of environments. However, it seems like nearly everything that we would sort on a computer are countable / partially ordered. Numbers, characters, strings, even functions are amenable to some meaningful non-comparison sorting method. A

Scenarios for selection sort, insertion sort, and quick sort

隐身守侯 提交于 2019-12-21 06:25:33
问题 If anyone can give some input on my logic, I would very much appreciate it. Which method runs faster for an array with all keys identical, selection sort or insertion sort? I think that this would be similar to when the array is already sorted, so that insertion sort will be linear, and the selection sort quadratic. Which method runs faster for an array in reverse order, selection sort or insertion sort? I think that they would run similarly, since the values at every position will have to be

Scenarios for selection sort, insertion sort, and quick sort

给你一囗甜甜゛ 提交于 2019-12-21 06:23:27
问题 If anyone can give some input on my logic, I would very much appreciate it. Which method runs faster for an array with all keys identical, selection sort or insertion sort? I think that this would be similar to when the array is already sorted, so that insertion sort will be linear, and the selection sort quadratic. Which method runs faster for an array in reverse order, selection sort or insertion sort? I think that they would run similarly, since the values at every position will have to be

Python Quicksort Runtime Error: Maximum Recursion Depth Exceeded in cmp

喜夏-厌秋 提交于 2019-12-20 11:56:12
问题 I'm writing a program that will read a text file containing 5,163 names. (text file can be seen here) Then I want to store the names into a list called 'names', afterwards, I sort the list based on how many letters the name contains, shorter names are at the start of the list and the longer ones are at the end. I used quicksort to sort the list, but when I run it, it shows this error: C:\Python27\python.exe C:/Users/Lenovo/Desktop/Anagrams/Main.py Traceback (most recent call last): File "C:

how to implement quick sort algorithm in C++

北城余情 提交于 2019-12-20 10:56:01
问题 here is the of quick sort algorithm from the MITOcw(Introduction To Algorithms ) lecture QUICKSORT(A,p,q) if(p < q) then r = PARTITION(A,p,q) QUICKSORT(A,p,r-1) QUICKSORT(A,r+1,q) PARTITION(A,p,q) x = A[p] i=p for j = p+1 to q if A[j] <= x then i = i+1 swap A[i] with A[j] swap A[p] with A[i] return i and here its C++ implementation on an integer array #include <iostream> using namespace std; void quickSort(int *,int,int); int partition(int *, int,int); int main() { int A[10]={6,10,13,5,8,3,2

QuickSort program reaching maximum recursion limit of 500?

江枫思渺然 提交于 2019-12-20 05:33:28
问题 I am working on analysis of sorting algorithms by plotting graphs in MATLAB. Below is my quick sort code. When I run it it is giving this error: Maximum recursion limit of 500 reached. Use set(0,'RecursionLimit', N) to change the limit. Be aware that exceeding your available stack space can crash MATLAB and/or your computer. Error in ==> quickSort Why does this error occur? Is there anything wrong in my code? function [ar] = quickSort(ar, low, high) if low < high [ar, q] = parti(ar, low, high

Prolog Quicksort using second element as a pivot

ⅰ亾dé卋堺 提交于 2019-12-20 03:52:30
问题 I've been trying to learn prolog and I want to use the second element of a list as the pivot of a quicksort. I thought using [Head | [Pivot | Tail] ] as the input in the method would work, but then I was not sure where I could place "Head", the first element. like this: qsort([],[]):- !. qsort([Head|[Pivot|Tail]],Sorted):- split(Pivot,[Head|Tail],Less,Greater), qsort(Less,SortedLess), qsort(Greater,SortedGreater), append(SortedLess,[Pivot|SortedGreater],Sorted). split(_,[],[],[]). split(Pivot

Non recursive QuickSort

寵の児 提交于 2019-12-20 02:49:13
问题 I'm curious to know has my implementation of non recursive QuickSort algorithm some drawbacks or hidden rocks. What should be modified in order to optimize it? And what problems could happen when comparing two objects in the way I do it? public class QuickSort <T extends Number> { private Integer first, last, boundLo, boundHi, pivot; Integer temp[] = {0, 0}; public void sort(NewArrayList<T> vect) { Deque<Integer[]> stack = new ArrayDeque<Integer[]>(); first = 0; last = vect.size() - 1; stack

Quicksort not sorting correctly

落爺英雄遲暮 提交于 2019-12-19 11:56:26
问题 Attempting to learn from doing an implementation of Quicksort, I cannot find out why it's not sorting properly. Using this sequence: 6, 7, 12, 5, 9, 8, 65, 3 It returns this: 3, 5, 7, 8, 9, 65, 12, 6 It seems to sort somewhat, but not all. What have I missed? Here's my code: static void Main(string[] args) { QuickSort qs = new QuickSort(); int[] arr = new int[] { 6, 7, 12, 5, 9, 8, 65, 3 }; foreach (int l in arr) { Console.Write(l + ", "); } int left = 0; int right = arr.Count() - 1; int[]

Is it possible to speed up a quicksort with par in Haskell?

本秂侑毒 提交于 2019-12-19 05:13:10
问题 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 deep enough, n==0, this turns into a serial quicksort. pQuicksort :: Ord a => Int -> [a] -> [a]