def bubble_sort(arr): n = len(arr) for i in range(n): swapped = False # 初始化标志位 for j in range(1, n - i): steps += 1 # Increment steps for each comparison if arr[j - 1] > arr[j]: arr[j], arr[j - 1] = arr[j - 1],
BitBit ManipulationBit Mask SortingMerge SortBubble SortCyclic SortCounting Sort Hash FunctionHash Tabl...
冒泡算法 def bubble_sort(arr):n = len(arr)for i in range(n):swapped = False # 初始化标志位for j in range(1, n - i):steps += 1 # Increment steps for each comparisonif arr[j - 1] > arr[j]:arr[j], arr[j - 1] = arr[j - 1], arr[j] # Swap the elementsswapped = ...
969.Pancake-Sorting.md Bubble-Sort.md Merge-Sort.md Quick-Sort.md README.md Stack String Toposort Trie-Tree Two-Pointers Union-Find .gitignore README.md SUMMARY.md book.json Breadcrumbs leetcode /Sort-Algorithm / Bubble-Sort.md Latest commit Chasel add tiktok problems 1e34362· Apr 13,...
Bubble Sort就不说了,下面简单总结一个Selection Sort, Insertion Sort, Merge Sort和Quick Sort: 1.Selection Sort: 其实就是每次选出数组中的最小值放在当前位置,然后往后扫, 举例: (29, 64, 73, 34,20) 20, (64, 73, 34,29) 20,29, (73,34, 64) ...
Sorting 📏 排序相关的题目虽然不常见,但掌握merge、bubble、quick sort的区别是很有必要的。希望这些题目能帮助你在Leetcode上取得更好的成绩!如果你有任何问题或需要更多建议,欢迎随时关注我。加油!💪0 0 发表评论 发表 作者最近动态 蜡笔小zhang 2025-01-08 霍桑效应:看不见的激励力量你是否曾经因...全文 ...
Bubble Sort requires n - 1 pass to sort an array of n elements.In each pass every adjacent elements a[i] and a[i + 1] is compared and if they are n...
虽然名字里有 Sorting,但是相比起我们熟知的 Bubble Sort, Quick Sort 等算法,Topological Sorting 并不是一种严格意义上的 Sorting Algorithm。 确切的说,一张图的拓扑序列可以有很多个,也可能没有。拓扑排序只需要找到其中一个序列,无需找到所有序列。
O(n^2) [Quadratic time]: Slow comparison-based sorting (eg. Bubble Sort, Insertion Sort, Selection Sort) O(n log n) [Linearithmic time]: Fast comparison-based sorting (eg. Merge Sort) O(n) [Linear time]: Linear Search (Finding maximum/minimum element in a 1D array), Counting Sort...
A. Cubes Sorting (Sort) (900) B. Rock and Lever (Bit) (1200)_ C1. Pokémon Army (easy version) (DP) (1300) C2. Pokémon Army (Hard version) (Greedy+Math) (2100) D. Rescue Nibel! (Combination) (1800) Codeforces Round #673 (Div. 2)...