code Dijkstra's Algorithm for a directed graph
example graph.txt:
0 (1,3) (3,5)
1 (2,6)
2 (4,2)
3 (1,1) (2,4) (4,6)
4 (0,3) (2,7)
example dist.txt:
0 1 2 3 4
0 8 9 5 7
using a priority queue implemented as a heap. Input is from a file "graph.txt" which contains adjacency lists. Format of the file will be discussed in class. Source vertex is the first vertex in the list. Output is to the file "dist.txt" which contains the array of shortest paths weights.
the code so far
#include <stdio.h>
#include <limits.h>
// Number of vertices in the graph
#define V 9
// 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)
{
printf("Vertex Distance from Sourcen");
for (int i = 0; i < V; i++)
printf("%d tt %dn", i, dist[i]);
}
// Funtion 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 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()
{
/* Let us create the example graph discussed above */
int graph[V][V] = {{0, 4, 0, 0, 0, 0, 0, 8, 0},
{4, 0, 8, 0, 0, 0, 0, 11, 0},
{0, 8, 0, 7, 0, 4, 0, 0, 2},
{0, 0, 7, 0, 9, 14, 0, 0, 0},
{0, 0, 0, 9, 0, 10, 0, 0, 0},
{0, 0, 4, 14, 10, 0, 2, 0, 0},
{0, 0, 0, 0, 0, 2, 0, 1, 6},
{8, 11, 0, 0, 0, 0, 1, 0, 7},
{0, 0, 2, 0, 0, 0, 6, 7, 0}
};
dijkstra(graph, 0);
return 0;
}
code Dijkstra's Algorithm for a directed graph example graph.txt: 0 (1,3) (3,5) 1 (2,6) 2 (4,2)...