The code provided is an implementation of Kruskal's algorithm to find the minimum spanning tree of a graph.

The code begins by initializing an adjacency matrix "e" to store the weights of edges between vertices. It also initializes the array "f" to maintain the disjoint sets of vertices. The variable "sum" is used to store the sum of the weights of the minimum spanning tree.

The code then reads the number of vertices, edges, and iterations from the input. It reads the edges and their weights and updates the adjacency matrix accordingly.

Next, the code enters a loop for each iteration. Within this loop, it finds the minimum weight edge that connects two disjoint sets using the "find" function. It then updates the disjoint sets and adds the weight to the "sum" variable.

Finally, the code checks if the number of iterations equals the given number of iterations. If so, it prints the sum of the minimum spanning tree. Otherwise, it prints "No Answer".

Overall, the code finds the minimum spanning tree of the given graph using Kruskal's algorithm

#includebitsstdc++husing namespace std;int xy_klnme10011001f1001sum=0cntbook1001;int findint x	ifx==fxreturn x;	else return x==fx;int main	forint i=1;i=1000;i++			fi=i;		forint i=1;i=1000;i++			forint

原文地址: https://www.cveoy.top/t/topic/hUTw 著作权归作者所有。请勿转载和采集!

免费AI点我,无需注册和登录