Code:-
#include <bits/stdc++.h>
#include <iostream>
using namespace std;
struct Edge
{
int src, dest, weight;
};
struct Graph
{
int V, E;
struct Edge* edge;
};
struct Graph* createGraph(int V, int E)
{
struct Graph* graph = new Graph;
graph->V = V;
graph->E = E;
graph->edge = new Edge[E];
return graph;
}
void printArr(int dist[], int n)
{
for (int i = 0; i < n; ++i)
{
if(dist[i] == INT_MAX)
printf("INFINITY\n");
else
printf("%d\n",
dist[i]);
}
}
void BellmanFord(struct Graph* graph, int src)
{
int V = graph->V;
int E = graph->E;
int dist[V];
for (int i = 0; i < V; i++)
dist[i] = INT_MAX;
dist[src] = 0;
for (int i = 1; i <= V-1; i++)
{
for (int j = 0; j < E;
j++)
{
int u =
graph->edge[j].src;
int v =
graph->edge[j].dest;
int weight =
graph->edge[j].weight;
if (dist[u] !=
INT_MAX && dist[u] + weight < dist[v])
dist[v] =
dist[u] + weight;
}
}
for (int i = 0; i < E; i++)
{
int u =
graph->edge[i].src;
int v =
graph->edge[i].dest;
int weight =
graph->edge[i].weight;
if (dist[u] != INT_MAX &&
dist[u] + weight < dist[v])
{
cout <<
"FALSE";
return;
}
}
cout << "TRUE\n";
printArr(dist, V);
}
main()
{
int V;
int E;
cin >> V >> E;
int u, v, c;
struct Graph* graph = createGraph(V, E);
for(int i=0; i<E; i++)
{
cin >> u >> v >>
c;
graph->edge[i].src = u;
graph->edge[i].dest = v;
graph->edge[i].weight = c;
}
BellmanFord(graph, 0);
}
Code Screenshots:-



Outputs:-


Please UPVOTE thank you...!!!
in c++ The Bellman-Ford Algorithm In this assignment, you are asked to implement the Bellman-Ford Algorithm...
Please help me with this answer. Performance Comparison for Dijkstra Algorithm and Bellman-Ford Algorithm Problem Description The shortest path problem is one of most important problems in graph theory and computer science in general. Shortest path problem is one of typical optimization problems. Given a graph G = (V,E), the goal is to nd a minimum cost path from s → t, s,t ∈ V . This variant is called one-to-one shortest path problem. Other variants are one-to-all (compute shortest...
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Run the Dijkstra’s algorithm on the directed graph of the
following figure 24.6, using vertex t as
the source. In the style of Figure 24.6, show the d and
? values and the vertices in set S after each iteration of
the while loop.
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