In this tutorial, we will learn about Kruskal’s algorithm and its implementation in C++ to find the minimum spanning tree. Kruskal’s algorithm: Kruskal’s algorithm is an algorithm that is used to find out the minimum spanning tree for a connected weighted graph. It follows a greedy appro...
cpp #include <iostream> #include <vector> #include <algorithm> using namespace std; // 并查集 class UnionFind { private: vector<int> parent; vector<int> rank; public: UnionFind(int n) : parent(n), rank(n, 0) { for (int i = 0; i < n...
in 3 1 2 1 2 1 输出样例: out 1 题解: cpp // C++ Version #include <cstdio> #include <iostream> #include <cstring> #include <ctime> #include <cmath> #include #include <set> #include <unordered_set> #include <unordered_map> #include <sstream> #include <algorithm> #include ...
代码如下带有注释: 欢迎交流 #include<iostream>#include<cstdio> #include<cstring> #include<algorithm> using namespace std; int select(int shortedge[],int n) { int k,i,min1=9999... 查看原文 第二周 程序的多文件组织 #define M_H_INCLUDED #include<;iostream>; using namespace std; int ...
kruskal.cpp #pragmaonce #include<iostream> #include<vector> #include<algorithm> #include<functional> #include<set> template<classVertex_Type,classEdge_Type> classKruskal { typedef Kruskal<Vertex_Type,Edge_Type>Self_Type ; protected: structEdge_t ...
Kruskal-algorithm丝竹**低语 上传 cpp Kruskal算法是一种用于处理带权图的最小生成树问题的经典算法。它的基本思想是贪心地选择边,使得形成的最小生成树中边的权重和最小。 以下是一个简单的Python实现代码: class Graph: def __init__(self, vertices): self.V = vertices self.graph = [[] for _ in ...
Definition: Assumptions: Cut Property: Greedy Algorithm: API:Kruskal’s Algorithm:Prim’s Algorithm: 智能推荐 最小生成树(Kruskal和Prim算法) 转载自 勿在浮沙筑高台http://blog.csdn.net/luoshixian099/article/details/51908175 最小生成树(Kruskal和Prim算法) 关于图的几个概念定义: Kruskal算法 Prim算法 最...
Re**n″ 上传2.98 KB 文件格式 rar Kruskal.cpp 最小生成树 kruskal kruskal.cpp 程序员 编程 源码 源代码 下载 在权值不同的图中寻找一个最小生成树的问题(different weights in the map to find a minimum spanning tree problem) 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 ...
Random-Codes/kruskal.cpp Go to file Copy path 53 lines (47 sloc)783 Bytes RawBlame /*Kruskal's Minimum Spanning Tree Algorithm * Edge List: e tuple(weight,a,b) * Number of Edges: m * Number of Vertices: n * Parent in DS: par[] ...
intv(){returna; } intw(){returnb; } Weight wt() {returnweight; } //知道边的一个顶点x,返回另一个顶点 intother(intx) { assert(x == a || x == b); returnx == a ? b : a; } //友元函数重载 friendostream &operator<<(ostream &os,constEdge &e) ...