I tried to implement union find (disjoint set data structure) algorithm in C++. There I used unordered_map data structure. Is there a better way of doing this using any other data structure. While finding the root I have used the following way. int root(int i){ if(i != parent[i]...
publicvoidunion(int p,int q){int rootP=find(p);int rootQ=find(q);if(rootP==rootQ)return;// 将两棵树合并为一棵parent[rootP]=rootQ;// parent[rootQ] = rootP 也一样count--;// 两个分量合二为一}/* 返回某个节点 x 的根节点 */privateintfind(int x){// 根节点的 parent[x] =...
Related resources for Union Find Algorithm The Union Find Algorithm in a Simplest Manner Possible5/28/2024 5:01:03 AM. The Union-Find algorithm, also known as the Disjoint Set algorithm, is a powerful tool for managing disjoint sets. It efficiently finds which set an element belongs to and...
A DFS approach has been added for finding the number of components of a graph, but an approach using Union-Find algorithm is more than welcomed. An Union-Find Approach using rank or path-compression can be a better solution deadshotsb added the enhancement label May 19, 2020 Member cclaus...
cavl-treequeuealgorithmsdatastructuresgraph-algorithmsbitsorting-algorithmsheapinterval-treetreesstackssegment-treeunion-findadvanced-data-structures UpdatedJan 30, 2021 C This repository contains algorithms. <3 treecpluspluscodechefrecursiondata-structuresbinary-search-treecodeforcesjava-8algorithm-competitionsdynamic...
UnionFindSet(intsize) {for(inti=0; i < size;i++) {//并查集初始化father.push_back(i); } }intfindFather(intx){//查找,路径压缩inta=x;while(x != father[x]) { x = father[x]; }while(a != father[a]) {intz=a; a = father[a]; ...
Union-Find是没学过的数据结构吧,在学kruskal算法的时候看网上都是用并查集来解决是否在同一个连通分量的问题,但是没有深究。感觉这个还是挺重要的,一是可以快速解决是否在同一个连通分量的问题,而是可以看有多少个联通分支。 核心思想: 并查集解决的问题就是看两个点是否连通。
The union-find algorithm has much scope for addressing ecological management problems in which dynamic connectivity needs to be considered.doi:10.1016/j.ecolmodel.2008.04.003Paul Harrison aDaniel Spring bMichael MacKenzie cRalph Mac Nally bElsevier B.V....
有一个联合-查找算法(union-findalgorithm)定义了两个操作用于此数据结构:Find:确定元素属于哪一个子集。它可以被用来确定两个元素是否属于同一子集。Union:将两个子集合并成同一个集合。因为它支持这两种操作,一个不相交集也常被称为联合-查找数据结构(un...
intx=Find(a); inty=Find(b); parent[x]=y; } }; voidprintSets(vector<int>const&universe,DisjointSet&ds) { for(inti:universe){ cout<<ds.Find(i)<<" "; } cout<<endl; } // Disjoint–Set data structure (Union–Find algorithm) ...