Created
July 29, 2020 20:09
-
-
Save SuryaPratapK/f64b24dae8de45133e9a1e91fb666359 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| #include<bits/stdc++.h> | |
| using namespace std; | |
| #define V 6 //No of vertices | |
| int selectMinVertex(vector<int>& value,vector<bool>& setMST) | |
| { | |
| int minimum = INT_MAX; | |
| int vertex; | |
| for(int i=0;i<V;++i) | |
| { | |
| if(setMST[i]==false && value[i]<minimum) | |
| { | |
| vertex = i; | |
| minimum = value[i]; | |
| } | |
| } | |
| return vertex; | |
| } | |
| void findMST(int graph[V][V]) | |
| { | |
| int parent[V]; //Stores MST | |
| vector<int> value(V,INT_MAX); //Used for edge relaxation | |
| vector<bool> setMST(V,false); //TRUE->Vertex is included in MST | |
| //Assuming start point as Node-0 | |
| parent[0] = -1; //Start node has no parent | |
| value[0] = 0; //start node has value=0 to get picked 1st | |
| //Form MST with (V-1) edges | |
| for(int i=0;i<V-1;++i) | |
| { | |
| //Select best Vertex by applying greedy method | |
| int U = selectMinVertex(value,setMST); | |
| setMST[U] = true; //Include new Vertex in MST | |
| //Relax adjacent vertices (not yet included in MST) | |
| for(int j=0;j<V;++j) | |
| { | |
| /* 3 constraints to relax:- | |
| 1.Edge is present from U to j. | |
| 2.Vertex j is not included in MST | |
| 3.Edge weight is smaller than current edge weight | |
| */ | |
| if(graph[U][j]!=0 && setMST[j]==false && graph[U][j]<value[j]) | |
| { | |
| value[j] = graph[U][j]; | |
| parent[j] = U; | |
| } | |
| } | |
| } | |
| //Print MST | |
| for(int i=1;i<V;++i) | |
| cout<<"U->V: "<<parent[i]<<"->"<<i<<" wt = "<<graph[parent[i]][i]<<"\n"; | |
| } | |
| int main() | |
| { | |
| int graph[V][V] = { {0, 4, 6, 0, 0, 0}, | |
| {4, 0, 6, 3, 4, 0}, | |
| {6, 6, 0, 1, 8, 0}, | |
| {0, 3, 1, 0, 2, 3}, | |
| {0, 4, 8, 2, 0, 7}, | |
| {0, 0, 0, 3, 7, 0} }; | |
| findMST(graph); | |
| return 0; | |
| } | |
| //TIME COMPLEXITY: O(V^2) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Very nice explanation