How to implement quicksort algorithm in Go

Quick sort is a classic sorting algorithm. Its sorting efficiency is very high and the time complexity is O(n*logn). Among various programming languages, the new generation of languages ​​represented by Go also provides various implementations of quick sort. This article will introduce how to implement the quick sort algorithm in Go.

The basic idea of ​​the quick sort algorithm is that the core operation of a quick sort is to select a specific element (x) among all the elements in the array (it can be a random number or the first or last ), called a pivot element. The data to be sorted is divided into two independent parts through one pass of sorting. All elements in one part are smaller than the boundary element, and all elements in the other part are larger than the boundary element.

Specifically, we can implement quick sorting through the following steps:

• Select an element in the array as the comparison element (pivot).
• Put elements less than or equal to pivot to the left, and elements greater than pivot to the right.
• Quickly sort recursively on the left and right sides respectively.

Golang code is as follows:

package main

import "fmt"

func QuickSort(arr []int, left, right int) {
    if left = pivot {
            right--
        }
        arr[left] = arr[right]
        for left <p>The above code implements the quick sorting process. The partition function in the code is used to partition elements, and the QuickSort function is used to implement quick sort recursion. Among them, the left and right pointers move to the middle respectively to find the number that needs to be replaced, and determine the new position through exchange, and return to the pivot position. </p><p>In the main function, an array arr is defined, and then the result after quick sorting is output. </p><p>In summary, this article provides some help for us to understand and master the quick sort algorithm by introducing the basic algorithm principles of quick sort and implementing quick sort through code in Golang. </p>

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