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need this progam in c++ and make sure it work #include #include #include // a structure to represent a weighted edge in graph struct Edge

need this progam in c++ and make sure it work

#include

#include

#include

// a structure to represent a weighted edge in graph

struct Edge

{

int src, dest, weight;

};

// a structure to represent a connected, undirected

// and weighted graph

struct Graph

{

// V-> Number of vertices, E-> Number of edges

int V, E;

// graph is represented as an array of edges.

// Since the graph is undirected, the edge

// from src to dest is also edge from dest

// to src. Both are counted as 1 edge here.

struct Edge* edge;

};

// Creates a graph with V vertices and E edges

struct Graph* createGraph(int V, int E)

{

// struct Graph* graph = new Graph;

//int size = sizeof(Graph);

struct Graph* graph;

graph = malloc(sizeof(struct Graph));

//graph= malloc(sizeof(Graph));

graph->V = V;

graph->E = E;

graph->edge = malloc(sizeof(struct Edge));

return graph;

}

// A structure to represent a subset for union-find

struct subset

{

int parent;

int rank;

};

// A utility function to find set of an element i

// (uses path compression technique)

int find(struct subset subsets[], int i)

{

// find root and make root as parent of i

// (path compression)

if (subsets[i].parent != i)

subsets[i].parent = find(subsets, subsets[i].parent);

return subsets[i].parent;

}

// A function that does union of two sets of x and y

// (uses union by rank)

void Union(struct subset subsets[], int x, int y)

{

int xroot = find(subsets, x);

int yroot = find(subsets, y);

// Attach smaller rank tree under root of high

// rank tree (Union by Rank)

if (subsets[xroot].rank < subsets[yroot].rank)

subsets[xroot].parent = yroot;

else if (subsets[xroot].rank > subsets[yroot].rank)

subsets[yroot].parent = xroot;

// If ranks are same, then make one as root and

// increment its rank by one

else

{

subsets[yroot].parent = xroot;

subsets[xroot].rank++;

}

}

// Compare two edges according to their weights.

// Used in qsort() for sorting an array of edges

int myComp(const void* a, const void* b)

{

struct Edge* a1 = (struct Edge*)a;

struct Edge* b1 = (struct Edge*)b;

return a1->weight > b1->weight;

}

// The main function to construct MST using Kruskal's algorithm

void KruskalMST(struct Graph* graph)

{

int V = graph->V;

struct Edge result[V]; // Tnis will store the resultant MST

int e = 0; // An index variable, used for result[]

int i = 0; // An index variable, used for sorted edges

// Step 1: Sort all the edges in non-decreasing

// order of their weight. If we are not allowed to

// change the given graph, we can create a copy of

// array of edges

qsort(graph->edge, graph->E, sizeof(graph->edge[0]), myComp);

// Allocate memory for creating V ssubsets

struct subset *subsets =

(struct subset*) malloc( V * sizeof(struct subset) );

// Create V subsets with single elements

for (int v = 0; v < V; ++v)

{

subsets[v].parent = v;

subsets[v].rank = 0;

}

// Number of edges to be taken is equal to V-1

while (e < V - 1)

{

// Step 2: Pick the smallest edge. And increment

// the index for next iteration

struct Edge next_edge = graph->edge[i++];

int x = find(subsets, next_edge.src);

int y = find(subsets, next_edge.dest);

// If including this edge does't cause cycle,

// include it in result and increment the index

// of result for next edge

if (x != y)

{

result[e++] = next_edge;

Union(subsets, x, y);

}

// Else discard the next_edge

}

// print the contents of result[] to display the

// built MST

printf("Following are the edges in the constructed MST ");

for (i = 0; i < e; ++i)

printf("%d -- %d == %d ", result[i].src, result[i].dest,

result[i].weight);

return;

}

// Driver program to test above functions

int main()

{

/* Let us create following weighted graph

10

0--------1

| \ |

6| 5\ |15

| \ |

2--------3

4 */

int V = 4; // Number of vertices in graph

int E = 5; // Number of edges in graph

struct Graph* graph = createGraph(V, E);

// add edge 0-1

graph->edge[0].src = 0;

graph->edge[0].dest = 1;

graph->edge[0].weight = 10;

// add edge 0-2

graph->edge[1].src = 0;

graph->edge[1].dest = 2;

graph->edge[1].weight = 6;

// add edge 0-3

graph->edge[2].src = 0;

graph->edge[2].dest = 3;

graph->edge[2].weight = 5;

// add edge 1-3

graph->edge[3].src = 1;

graph->edge[3].dest = 3;

graph->edge[3].weight = 15;

// add edge 2-3

graph->edge[4].src = 2;

graph->edge[4].dest = 3;

graph->edge[4].weight = 4;

KruskalMST(graph);

return 0;

}

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