4 */ 5 #define N 1005 6 #define M 100010 7 #include<iostream> 8 using namespace std; 9 #include<cstdio> 10 #include<algorithm> 11 int n,m; 12 struct Edge{ 13 int u,v,w; 14 bool operator <(Edge P) 15 const{return w<P.w;} 16 }edge[M]; 17 int father[N]; 18 void ...
Greedy Algorithm: A Beginner’s Guide What is Hamming Distance? Applications and Operations Hashing in Data Structure Introduction to Tree: Calculate the Height of a Tree Learn How to Code as a Beginner What is Huffman Coding in DAA? What is Kadanes Algorithm? Kruskal’s Algorithm in DAA: St...
Java structure for set of sets that have to union? (for Kruskal's Algorithm) I have to implement Kruskal's Algorithm in Java. I have the part that I get the edges ordered by weight, but I am a little lost when I have to think the structure to save the sets of each tree. I thou...
classSolution {//BFS版本,其实和Khan's algorithm很像//当有环的时候,Khan's algorithm无法遍历到所有的节点publicbooleancanFinish(intnumCourses,int[][] prerequisites) {//构建graph,记录indegreesLinkedList<Integer>[] graph =newLinkedList[numCourses];int[] indegrees =newint[numCourses];for(inti = 0;...
7、基础的图论算法，如图的深度优先遍历，广度优先遍历，及其应用；带权图最短路径的 Dijkstra 算法；最小生成树的 Kruskal 算法；有向图的拓扑排序；哈密尔顿回路（或者路径）等等；8、一些进阶的数据结构，如线段树，后缀树，跳表，等等；9、一些进阶的图论算法，如寻找桥或者割点；欧拉回路（或者路径）；匈牙利算法...
刷LeetCode之前的基础:本科非CS,与CS相关的课只有一门C++,跟过Coursera上的Algorithm课程,学过基本的数据结构。胡乱看过Algorithms的前几章和CLRS书,前者跟着课看的话大部分能看懂,后者很多看不懂。扫过CLRS的一些习题但太菜了做不动。硕士转了CS,也没上过算法课和数据结构课,做的是机器学习方向。这时候做Leet...
基于图的算法:深度优先DFS、广度优先BFS、拓扑排序、Kruskal算法、Prim算法、Dijkstra算法等 cnblogs.com/skywang1234 八大排序:冒泡、快速排序、插入排序、希尔排序、选择排序、堆排序、归并排序、桶排序、基数排序 暴力枚举法 分治法 递归 动态规划 贪心 ...推荐大家学习这些数据结构和算法可以看看《算法4》这本书,这...
void kruskal() { for (int i=1;i<=n;i++) father[i]=i; for (int i=1;i<=nume*2;i++) { int u=e[i].u,v=e[i].v; if (getfather(u)!=getfather(v)) { addtree(u,v,e[i].w); addtree(v,u,e[i].w); unionn(u,v); ...
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why. - GitHub - labuladong/fucking-algorithm: 刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but
and it always help to sharp our algorithm Skills. Level up your coding skills and quickly land a job. This is the best place to expand your knowledge and get prepared for your next interview. This repo shows my solutions in Go with the code style strictly follows the Google Golang Style...