This is the implementation of Kruskal’s Algorithm in C Programming Language.This algorithm is directly based on the generic MST (Minimum Spanning Tree) algorithm. Kruskal’s algorithm is a greedy algorithm in graph theory that finds a minimum spanning tree for a connected weighted graph. It finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized.
Pseudocode For The Kruskal’s Algorithm
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KRUSKAL(V, E, w) A ← { } ▷ Set A will ultimately contains the edges of the MST for each vertex v in V do MAKE-SET(v) sort E into non decreasing order by weight w for each (u, v) taken from the sorted list do if FIND-SET(u) = FIND-SET(v) then A ← A ∪ {(u, v)} UNION(u, v) return A |
C Language Implementation
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#include <stdio.h> #include <conio.h> #include <stdlib.h> int i,j,k,a,b,u,v,n,ne=1; int min,mincost=0,cost[9][9],parent[9]; int find(int); int uni(int,int); void main() { clrscr(); printf("\n\tImplementation of Kruskal's Algorithm\n"); printf("\nEnter the no. of vertices:"); scanf("%d",&n); printf("\nEnter the cost adjacency matrix:\n"); for(i=1;i<=n;i++) { for(j=1;j<=n;j++) { scanf("%d",&cost[i][j]); if(cost[i][j]==0) cost[i][j]=999; } } printf("The edges of Minimum Cost Spanning Tree are\n"); while(ne < n) { for(i=1,min=999;i<=n;i++) { for(j=1;j <= n;j++) { if(cost[i][j] < min) { min=cost[i][j]; a=u=i; b=v=j; } } } u=find(u); v=find(v); if(uni(u,v)) { printf("%d edge (%d,%d) =%d\n",ne++,a,b,min); mincost +=min; } cost[a][b]=cost[b][a]=999; } printf("\n\tMinimum cost = %d\n",mincost); getch(); } int find(int i) { while(parent[i]) i=parent[i]; return i; } int uni(int i,int j) { if(i!=j) { parent[j]=i; return 1; } return 0; } |