comments have been used to explain working of the code.
#include <bits/stdc++.h>
#define V 5 // update NO of vertices according to question.
using namespace std;
// A utility function to find the vertex with minimum distance
value, from
// the set of vertices not yet included in shortest path tree
int minDistance(int dist[], bool sptSet[])
{
// Initialize min value
int min = INT_MAX, min_index;
for (int v = 0; v < V; v++)
if (sptSet[v] == false && dist[v] <= min)
{ min = dist[v]; min_index = v;}
return min_index;
}
// A utility function to print the constructed distance array
int printSolution(int dist[] , int n)
{
cout<<"Vertex Distance from Source"<<endl;
for (int i = 0; i < V; i++)
cout<<i<<" "<<dist[i]<<endl;
}
// Function that implements Dijkstra's single source shortest path
algorithm
// for a graph represented using adjacency matrix
representation
void dijkstra(int graph[V][V], int src)
{
int dist[V]; // The output array. dist[i] will hold the
shortest
// distance from src to i
bool sptSet[V]; // sptSet[i] will true if vertex i is included in
shortest
// path tree or shortest distance from src to i is finalized
// Initialize all distances as INFINITE and stpSet[] as false
for (int i = 0; i < V; i++)
dist[i] = INT_MAX, sptSet[i] = false;
// Distance of source vertex from itself is always 0
dist[src] = 0;
// Find shortest path for all vertices
for (int count = 0; count < V-1; count++)
{
// Pick the minimum distance vertex from the set of vertices
not
// yet processed. u is always equal to src in the first
iteration.
int u = minDistance(dist, sptSet);
// Mark the picked vertex as processed
sptSet[u] = true;
// Update dist value of the adjacent vertices of the picked
vertex.
for (int v = 0; v < V; v++)
// Update dist[v] only if is not in sptSet, there is an edge
from
// u to v, and total weight of path from src to v through u
is
// smaller than current value of dist[v]
if (!sptSet[v] && graph[u][v] && dist[u] !=
INT_MAX
&& dist[u]+graph[u][v] < dist[v])
dist[v] = dist[u] + graph[u][v];
}
// print the constructed distance array
printSolution(dist, V);
}
// driver program to test above function
int main()
{
int src, des,weight;
int graph[V][V];
memset(graph,0,sizeof(graph));
char ch;
cout<<"Enter the edges and weigths"<<endl;
while(1){
cin>>src>>des>>weight; // adding edges in a egde
table
graph[src][des]=weight;
graph[des][src]=weight;
cout<<"More edges(Y for yes and N for no)
:"<<endl;
cin>>ch;
if(ch!='Y'){
break;
}
}
dijkstra(graph, 0);
return 0;
}
output
![OnlineGDB beta printsolution(dist, v): code comple nun dsbug share IDE e 17 driver program to test obove function 71 Int nain() int sre, des,weight; Progranning Questices 4 Int graph[V][v] Ve rtex Distance from Source Sign Up char ch; 7 Cout<cEnter the edges and weigthsccendl; 78-while() cin sre des>weight;/ adding edpes in a egde toble graph[src][des) weight; St graph[des][src] weight cout<c More edges(Y for yes and N for no) enl: cin ch; 3 2 4 3 Studorts and Teachers im up to 60% on Adobe 89 dijkstra(eh, : raph.。); return 0 20180 (OB Online](http://img.homeworklib.com/questions/46405740-0b7c-11ec-9eb9-d39905c3f51e.png?x-oss-process=image/resize,w_560)
Dijstra Shortest path 3. Implement Dijkstra Shortest Path algorithm for any input graph. Implementation will be...
PYTHON ONLY Implement the Dijkstra’s Shortest path algorithm in Python. A graph with 10 nodes (Node 0 to node 9) must be implemented. You are supposed to denote the distance of the edges via an adjacency matrix (You can assume the edge weights are either 0 or a positive value). The adjacency matrix is supposed to be a 2-D array and it is to be inputted to the graph. Remember that the adjacency list denotes the edge values for the...
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Consider the graph below. Use Dijkstra's algorithm to find the shortest path from vertex A to vertex C. Write your answer as a sequence of nodes with no blank spaces or any separators in between, starting with the source node: What's the weight of the shortest path?
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Dijkstra's single source shortest path algorithm when run from vertex a in the below graph, in what order do the nodes get included into the set of vertices for which the shortest path distances are finalized?
Wouldn't the Dijkstra algorithm visit the negative edge if the
weights were changed as follows; A > B = 1, B > C = 2, A >
D = 4?
I assume that the algorithm goes as follows, Node A is known,
shortest path is to Node B at weight 1, and then it goes to Node C
because of the smallest weight being 3, and then it would visit
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Dijkstra's Algorithm Shortest...
Find the shortest path algorithm tables (for the graph on the
homework sheet) using the
(a) Dijkstra algorithm
(b) Ford-Fulkerson algorithm
Label the columns B,C,D from left to right. Node A is the root
node.
Use pointers for only the Ford Fulkerson algorithm as in the
Networks and Grids book.
(c) Let the link number be bandwidth (data rate). Create the
routing table that allows you find paths to the root node that
maximize the bottleneck bandwidth
Uhe
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4. Given a network of 8 nodes and the distance between each...