foriinrange(n-1): forjinrange(0, n-i-1): ifarr[j] < arr[j+1]: swapped=True arr[j], arr[j+1]=arr[j+1], arr[j] ifnotswapped: returnindex definsertionSort(self,items:list): """ 2 插入排序(Insertion Sort) items = [6,20,8,19,56,23,87,41,49,53] print(insertionSort(...
For this algorithm, we simply do exactly what is described: sort nums, and return the element in question. To see why this will always return the majority element (given that the array has one), consider the figure below (the top example is for an odd-length array and the bottom is fo...
struct ArrayBinaryTree { Expand Down Expand Up @@ -49,18 +49,11 @@ impl ArrayBinaryTree { /* 層序走訪 */ fn level_order(&self) -> Vec<i32> { let mut res = vec![]; // 直接走訪陣列 for i in 0..self.size() { if let Some(val) = self.val(i) { res.push(val) } } ...
找到两个总和 算法设计 为了在一个数组中找到两个与另一个键相加的键,我实现了一种类似于以下伪代码的算法: array A = sortedInputData unordered_set SET for each targetKey (loop from back to front): for each checkKey in A: if targetKey-checkKey not in SET: ...
Insertion Sortar-isrt✔✔✔✔✔✔✔✔✔ Knuth–Morris–Prattar-kmp✔✔✔✔✔✔ K-NNar-knn✔✔ Largest Sum Contiguous Sub-Arrayar-lscsa✔✔✔✔✔✔ Linear Regressionar-lreg✔✔✔✔✔ Linear Searchar-lsrh✔✔✔✔✔✔✔ ...
BubblesortLinearinsertionsortQuicksortShellsortHeapsortLinearprobingsort MergesortBucketsortRadixsortHybridmethodsTreesort Sorting BalancedmergesortCascademergesortPolyphasemergesortOscillatingmergesortExternalquicksort ListmergingArraymergingMinimal-comparisonmerging Searching SequentialsearchBasicSequentialsearchSelf-organizing...
Insertion Sort ImplementationTo implement the Insertion Sort algorithm in a programming language, we need:An array with values to sort. An outer loop that picks a value to be sorted. For an array with nn values, this outer loop skips the first value, and must run n−1n−1 times. An...
Use it whenever you need quick access to the largest (or smallest) element , because that element will always be the first element in the array or at the root of the tree. So it's a good way to deal with incoming events or data where access to the smallest/largest are always required...
// 折半插入排序 const binaryInsertionSort = array => { const len = array.length; if (len <= 1) return; let current, i, j, low, high, m; for (i = 1; i < len; i++) { low = 0; high = i - 1; current = array[i]; while (low <= high) { //步骤 1 & 2 : 折半...
insertion sort 插入排序 插入排序 quick sort 快速排序 快速排序 merge sort 归并排序 合併排序 heap sort 堆排序 堆積排序 bucket sort 桶排序 桶排序 counting sort 计数排序 計數排序 radix sort 基数排序 基數排序 divide and conquer 分治 分治 hanota problem 汉诺塔问题 河內塔問題 backtracking algorithm 回溯...