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Create kruskal.c
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data_structures/graphs/kruskal.c
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189
data_structures/graphs/kruskal.c
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// C program for Kruskal's algorithm to find Minimum Spanning Tree
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// of a given connected, undirected and weighted graph
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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// a structure to represent a weighted edge in graph
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struct Edge
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{
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int src, dest, weight;
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};
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// a structure to represent a connected, undirected
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// and weighted graph
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struct Graph
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{
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// V-> Number of vertices, E-> Number of edges
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int V, E;
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// graph is represented as an array of edges.
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// Since the graph is undirected, the edge
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// from src to dest is also edge from dest
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// to src. Both are counted as 1 edge here.
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struct Edge* edge;
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};
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// Creates a graph with V vertices and E edges
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struct Graph* createGraph(int V, int E)
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{
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struct Graph* graph = new Graph;
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graph->V = V;
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graph->E = E;
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graph->edge = new Edge[E];
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return graph;
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}
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// A structure to represent a subset for union-find
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struct subset
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{
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int parent;
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int rank;
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};
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// A utility function to find set of an element i
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// (uses path compression technique)
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int find(struct subset subsets[], int i)
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{
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// find root and make root as parent of i
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// (path compression)
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if (subsets[i].parent != i)
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subsets[i].parent = find(subsets, subsets[i].parent);
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return subsets[i].parent;
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}
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// A function that does union of two sets of x and y
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// (uses union by rank)
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void Union(struct subset subsets[], int x, int y)
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{
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int xroot = find(subsets, x);
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int yroot = find(subsets, y);
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// Attach smaller rank tree under root of high
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// rank tree (Union by Rank)
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if (subsets[xroot].rank < subsets[yroot].rank)
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subsets[xroot].parent = yroot;
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else if (subsets[xroot].rank > subsets[yroot].rank)
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subsets[yroot].parent = xroot;
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// If ranks are same, then make one as root and
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// increment its rank by one
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else
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{
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subsets[yroot].parent = xroot;
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subsets[xroot].rank++;
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}
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}
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// Compare two edges according to their weights.
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// Used in qsort() for sorting an array of edges
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int myComp(const void* a, const void* b)
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{
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struct Edge* a1 = (struct Edge*)a;
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struct Edge* b1 = (struct Edge*)b;
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return a1->weight > b1->weight;
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}
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// The main function to construct MST using Kruskal's algorithm
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void KruskalMST(struct Graph* graph)
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{
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int V = graph->V;
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struct Edge result[V]; // Tnis will store the resultant MST
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int e = 0; // An index variable, used for result[]
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int i = 0; // An index variable, used for sorted edges
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// Step 1: Sort all the edges in non-decreasing
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// order of their weight. If we are not allowed to
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// change the given graph, we can create a copy of
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// array of edges
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qsort(graph->edge, graph->E, sizeof(graph->edge[0]), myComp);
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// Allocate memory for creating V ssubsets
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struct subset *subsets =
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(struct subset*) malloc( V * sizeof(struct subset) );
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// Create V subsets with single elements
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for (int v = 0; v < V; ++v)
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{
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subsets[v].parent = v;
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subsets[v].rank = 0;
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}
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// Number of edges to be taken is equal to V-1
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while (e < V - 1 && i < graph->E)
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{
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// Step 2: Pick the smallest edge. And increment
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// the index for next iteration
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struct Edge next_edge = graph->edge[i++];
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int x = find(subsets, next_edge.src);
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int y = find(subsets, next_edge.dest);
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// If including this edge does't cause cycle,
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// include it in result and increment the index
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// of result for next edge
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if (x != y)
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{
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result[e++] = next_edge;
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Union(subsets, x, y);
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}
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// Else discard the next_edge
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}
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// print the contents of result[] to display the
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// built MST
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printf("Following are the edges in the constructed MST\n");
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for (i = 0; i < e; ++i)
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printf("%d -- %d == %d\n", result[i].src, result[i].dest,
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result[i].weight);
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return;
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}
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// Driver program to test above functions
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int main()
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{
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/* Let us create following weighted graph
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10
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0--------1
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| \ |
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6| 5\ |15
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| \ |
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2--------3
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4 */
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int V = 4; // Number of vertices in graph
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int E = 5; // Number of edges in graph
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struct Graph* graph = createGraph(V, E);
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// add edge 0-1
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graph->edge[0].src = 0;
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graph->edge[0].dest = 1;
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graph->edge[0].weight = 10;
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// add edge 0-2
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graph->edge[1].src = 0;
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graph->edge[1].dest = 2;
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graph->edge[1].weight = 6;
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// add edge 0-3
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graph->edge[2].src = 0;
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graph->edge[2].dest = 3;
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graph->edge[2].weight = 5;
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// add edge 1-3
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graph->edge[3].src = 1;
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graph->edge[3].dest = 3;
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graph->edge[3].weight = 15;
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// add edge 2-3
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graph->edge[4].src = 2;
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graph->edge[4].dest = 3;
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graph->edge[4].weight = 4;
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KruskalMST(graph);
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return 0;
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}
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