Home »
C++ programming language

# Dijkstra's Algorithm: Explanation and Implementation with C++ program

Learn: What is **Dijkstra's Algorithm**, why it is used and how it will be implemented using a C++ program?

Submitted by Shubham Singh Rajawat, on June 21, 2017

**Dijkstra's algorithm aka the shortest path algorithm is used to find the shortest path in a graph that covers all the vertices.**

Given a graph with the starting vertex.

**Algorithm:**

1. Initially **Dset** contains **src**

dist[s]=0 dist[v]= ∞

2. Set **Dset** to initially empty

3. While all the elements in the graph are not added to **'Dset'**

A. Let ‘u’ be any vertex not in ‘Dset’ and has minimum label dist[u]
B. Add ‘u’ to Dset
C. Update the label of the elements adjacent to u
For each vertex ‘v’ adjacent to u
If ‘v’ is not in ‘Dset’ then
If dist[u]+weight(u,v)<dist[v] then
Dist[v]=dist[u]+weight(u,v)

**How about we understand this with the help of an example:**

Initially Dset is empty and the distance of all the vertices is set to infinity except the source which is set to zero. First we find the vertex with minimum distance. The vertex ‘A’ got picked as it is the source so update Dset for A.

Now update the distance of its adjacent vertices which B and C. Now find the vertex whose distance is minimum which is C.

So update Dset for C and update the distance of its adjacent vertices. Find the vertex with minimum distance which is B.

Update Dset for B and update distance of its adjacent vertices and then find the vertex with minimum distance which is G.

Update Dset for G and update distance of its adjacent vertices and find the vertex with minimum distance which is E.

Update Dset for E and update distance of its adjacent vertices and find the vertex with minimum distance which is F.

Update Dset for F and update distance of its adjacent vertices and find the vertex with minimum distance which is D.

Update Dset for D.

As all the vertices are part of Dset so we got the shortest path which contains all the vertices. So the graph for shortest path from vertex A is

**Consider the program:**

#include<iostream>
#include<climits> /*Used for INT_MAX*/
using namespace std;
#define vertex 7 /*It is the total no of verteices in the graph*/
int minimumDist(int dist[], bool Dset[]) /*A method to find the vertex with minimum distance which is not yet included in Dset*/
{
int min=INT_MAX,index; /*initialize min with the maximum possible value as infinity does not exist */
for(int v=0;v<vertex;v++)
{
if(Dset[v]==false && dist[v]<=min)
{
min=dist[v];
index=v;
}
}
return index;
}
void dijkstra(int graph[vertex][vertex],int src) /*Method to implement shortest path algorithm*/
{
int dist[vertex];
bool Dset[vertex];
for(int i=0;i<vertex;i++) /*Initialize distance of all the vertex to INFINITY and Dset as false*/
{
dist[i]=INT_MAX;
Dset[i]=false;
}
dist[src]=0; /*Initialize the distance of the source vertec to zero*/
for(int c=0;c<vertex;c++)
{
int u=minimumDist(dist,Dset); /*u is any vertex that is not yet included in Dset and has minimum distance*/
Dset[u]=true; /*If the vertex with minimum distance found include it to Dset*/
for(int v=0;v<vertex;v++)
/*Update dist[v] if not in Dset and their is a path from src to v through u that has distance minimum than current value of dist[v]*/
{
if(!Dset[v] && graph[u][v] && dist[u]!=INT_MAX && dist[u]+graph[u][v]<dist[v])
dist[v]=dist[u]+graph[u][v];
}
}
cout<<"Vertex\t\tDistance from source"<<endl;
for(int i=0;i<vertex;i++) /*will print the vertex with their distance from the source to the console */
{
char c=65+i;
cout<<c<<"\t\t"<<dist[i]<<endl;
}
}
int main()
{
int graph[vertex][vertex]={{0,5,3,0,0,0,0},{0,0,2,0,3,0,1},{0,0,0,7,7,0,0},{2,0,0,0,0,6,0},{0,0,0,2,0,1,0},{0,0,0,0,0,0,0},
{0,0,0,0,1,0,0}};
dijkstra(graph,0);
return 0;
}

Output

Vertex Distance from source
A 0
B 5
C 3
D 9
E 7
F 8
G 6