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 ...
j +=1# for k inrange(low, high+1): # li[k] = ltmp[k-low] li[low:high+1] = ltmp defmerge_sort(li, low, high): if low < high: mid = (low + high) //2merge_sort(li, low, mid)merge_sort(li, mid+1, high)merge(li, low, mid, high) # li =list(range(10000)) # ...
Sorting is the process of arranging data in a specific order, such as ascending or descending. Sorting is essential for efficient data retrieval and analysis. Common Sorting AlgorithmsSome common sorting algorithms include: Bubble Sort Selection Sort Insertion Sort Merge Sort Quick Sort Radix Sort...
希尔排序(Python实现) 摘要:[TOC] 1.for版本 希尔排序 python def shell_sort_for(a_list): '''希尔排序for版本''' num = len(a_list) gap = num // 2 for k in range(gap, 0, gap//2): while gap 0: fo 阅读全文 posted @ 2019-01-20 22:23 zkeeper 阅读(184) 评论(0) 推荐(0)...
The need for instructional tools that can give researchers and students an engaging and interactive learning environment is growing as algorithm complexity rises. Popular sorting algorithms like selection sort, bubble sort, insertion sort, merge sort, and quicksort can all be seen in real time on ...
Why to use merge sort?But, the problem with such sorting algorithms like bubble sort, insertion sort, and the selection sort is they take a lot of time to sort.For example, If we have to sort an array of 10 elements then any sorting algorithm can be opted but in case of an...
This Python script uses the pygame library to create a visualizer for sorting algorithms. It allows you to see how different sorting algorithms work by animating the sorting process and displaying the changes in real-time. python algorithm pygame visualizer sorting-algorithm-visualizer Updated Aug 9...
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[...
It explores nodes level by level, guaranteeing the shortest path in an unweighted graph. It's simple and easy to implement but may not be as efficient as other algorithms for weighted graphs. 4 Depth-First Search (DFS): Similar to BFS, DFS is not designed for pathfinding but can be adapt...
This chapter provides tutorial notes and codes on the Merge Sort algorithm. Topics include introduction of the Merge Sort algorithm, Java implementation and performance of the Merge Sort algorithm.