for i in range(len(li)-1): # i表示第几趟 for j in range(len(li)-i-1): # j表示图中的箭头 if li[j] > li[j+1]: li[j], li[j+1] = li[j+1], li[j] ===冒泡排序(优化)=== def bubble_sort_1(li): for i in range(len(li)-1): # i表示第几趟 exchange = False ...
This section describes the Bubble Sort algorithm - A simple and slow sorting algorithm that repeatedly steps through the collection, compares each pair of adjacent elements and swaps them if they are in the wrong order.
Bubble sort algorithm works by iterating through the given array multiple times and repeatedly swapping adjacent elements until all elements in the array are sorted.
Bubble sort has many of the same properties as insertion sort, but has slightly higher overhead. In the case of nearly sorted data, bubble sort takes O(n) time, but requires at least 2 passes through the data (whereas insertion sort requires something more like 1 pass).KEY...
In this article, we explain and implement the Radix Sort algorithm in Python. An algorithm is a step-by-step procedure to solve a problem or perform a computation. Algorithms are fundamental to computer science and programming. Sorting is the process of arranging data in a specific order, ...
Visual presentation - Bubble sort algorithm: Sample Solution: Sample C Code: #include<stdio.h>// Function to perform bubble sort on an arrayvoidbubble_sort(int*x,intn){inti,t,j=n,s=1;// Outer loop controls the number of passeswhile(s){s=0;// Initialize swap indicator// Inner loop...
This includes a C++ project on implementing a Bubble Sort Algorithm.This Algorithm sorts numbers entered in an array in the ascending order. c-plus-plus programming bubble-sort bubble-sort-algorithm ascending-sort Updated May 14, 2023 Ramages / Python-MiscProject Star 1 Code Issues Pull req...
When using Bubble Sort the adjacent elements in the array are compared and if the first element is greater than the second the places are switched. In this way the highest value "bubbles" will come at the top. At the end of each iteration, the parts nearest the right are frequently in ...
To sort data in descending order, modify the heapify function to build a min-heap instead of a max-heap. heap_sort_desc.py #!/usr/bin/python def heapify(arr, n, i): smallest = i left = 2 * i + 1 right = 2 * i + 2 if left < n and arr[i] > arr[left]: smallest = ...
The following is a Python implementation of the counting sort algorithm. counting_sort.py def counting_sort(arr): max_val = max(arr) count = [0] * (max_val + 1) for num in arr: count[num] += 1 sorted_arr = [] for i in range(len(count)): sorted_arr.extend([i] * count[...