PROBLEM 1. This tutorial is about kruskal’s algorithm in C. It is an algorithm for finding the minimum cost spanning tree of the given graph. typedef struct edge Time complexity of merging of components= O (e log n), Overall time complexity of the algorithm= O (e log e) + O (e, Comparison of Time Complexity of Prim’s and Kruskal’s, Time Complexity of Kruskal’s algorithm= O (e log e) + O (e. Where, n is number of vertices and e is number of edges. { For a dense graph, O (e log n) may become worse than O (n, Hence, the Kruskal’s algorithm should be avoided for a dense graph. { This tutorial presents Kruskal's algorithm which calculates the minimum spanning tree (MST) of a connected weighted graphs. This algorithm treats the graph as a forest and every node it has as an individual tree. Viewed 3k times 5 \$\begingroup\$ Please review the implementation of Kruskal algorithm. Kruskal's algorithm is a good example of a greedy algorithm, in which we make a series of decisions, each doing what seems best at the time. temp=edgelist[j]; struct Edge edge[e]; (A minimum spanning tree of a connected graph is a subset of the edges that forms a tree that includes every vertex, where the sum of the weights of all the edges in the tree is minimized. n++; First, it is proved that the algorithm produces a spanning tree. the sum of weights of all the edges is minimum) of all possible spanning trees. } { for(i=0;i