It's a pretty simple algorithm. Didn't you find anything about it in your algorithm's book?
You can start from here http://en.wikipedia.org/wiki/Kruskal's_algorithm

Post your attempt and we will definately help you out on topics on where you got stuck. Just giving out the source code would do you more harm than good.

smart_pallav....welcome aboard.I reccommend taking a look at the Rules & FAQ for the daniweb forum. Please do not re-open old threads...You must start your own thread and post what you've come up with for us to help...we don't do assignments for students!

hi below is the krushkal algorithm code
it uses UNIONFIND data structure

code starts :

/*Krushkal Algorithm
Input defined as follow
First give number of nodes n
starting end of edge and then ending end of edge and then cost of edge
example:
graph is as follows
1-2 2-5 3-4 4-2 2-3
then
input is
5
1 2 1
2 5 1
3 4 1
4 2 1
2 3 1
0 to end the input
*/
#define N 100 //N is max nodes
#define M 10000 // M is max edges
#include<iostream>
#include <stdlib.h>
using namespace std;
// UNION FIND DATA STRUCURE STARTS
struct data{
int name;
int size;
struct data *home;
};
typedef struct data mydata;
class makeunionfind
{
public :
mydata S[N];
public:
makeunionfind(int n)
{
for(int i=0;i<n;i++)
{
S[i].name=i+1;
S[i].size=0;
S[i].home=&S[i];
}
}
void myunion(int a, int b)
{
int sizea,sizeb;
sizea=S[a-1].home->size;
sizeb=S[b-1].home->size;
if(sizea>sizeb)
{
(S[b-1].home)->home=S[a-1].home;
S[a-1].size=sizea+sizeb;
}
else
{
(S[a-1].home)->home=S[b-1].home;
S[b-1].size=sizea+sizeb;
}
}
int myfind(int a)
{
mydata *temp,*temp2,*stoppoint;
int result;
temp2=&S[a-1];
temp=S[a-1].home;
while(temp2!=temp)
{
temp2=temp;
temp=(*temp2).home;
}
result=temp2->name;
stoppoint=temp2;
temp2=&S[a-1];
//path compression
do{
temp=temp2->home;
(*temp2).home=stoppoint;
temp2=temp;
}while(temp2!=stoppoint);
return result;
}
};
//UNION FIND DATA STRUCURE ends
//Krushkal Algo starts
struct node{
int name;
};
typedef struct node mynode;
class edge
{
public :
mynode *start,*end;
double cost;
edge()
{
start=NULL;
end=NULL;
cost=0;
}
};
struct edges{
edge e;
};
int compare(const void *a,const void *b )
{
edge *a1,*b1;
a1=(edge*)a;
b1=(edge*)b;
if(a1->cost<b1->cost)
return -1;
else if (a1->cost>b1->cost)
return 1;
else
return 0;
}
void *kruskal(edge *e,int n,int m,int *size,edge *ans)
{
makeunionfind list(n);
int (*comp)(const void *a,const void *b );
int k=0;
comp=compare;
qsort((void*)e,m,sizeof(e[0]),comp);
for(int i=0;i<m;i++)
{
int s,f;
s=(e[i].start)->name;
f=(e[i].end)->name;
if(list.myfind(s)==list.myfind(f))
{
continue;
}
else
{
list.myunion(s,f);
ans[k]=e[i];
k++;
}
}
*size=k;
return ans;
}
int main()
{
mynode nodes[N];
edge e[M];
int n,m; // n is the number of nodes , m is no. of nodes
cin>>n;
for(int i=0;i<n;i++){
nodes[i].name=i+1;
}
// temp1 is starting node temp2 is ending node temp3 is cosr
int temp1,i;
cin>>temp1;
for (i=0;temp1!=0;i++)
{
int temp2;
double temp3;
cin>>temp2;
cin>>temp3;
e[i].start=&nodes[temp1-1];
e[i].end=&nodes[temp2-1];
e[i].cost=temp3;
cin>>temp1;
}
m=i;
edge ans[M];
int size;
kruskal(e,n,m,&size,ans);
for(int p=0;p<size;p++)
{
cout<<p+1<<") start "<<(ans[p].start)->name<<" end "<<(ans[p].end)->name<<endl;
}
return 0;
}

Above works perfectly fine :)
And is good implementation
If you want to know about unionfind data structure search google please

A C++/MFC tool with graphical user interface to add network nodes and links etc
and calculate the Kruskal minimal spanning tree via the Boost libraries

hi all... you have asked question 7 years ago.. back then i did not even know what programing is.. today I do. Today I am going to give you exact answer as you were expacting at the time of posting this question... simply visit the following link and have code for Kruskel Algorithm in C++

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