#include <limits.h>
#include <stdio.h>
#include <stdbool.h>
#define v 12
int min_indx(int key[],bool visited[])
{
int min=INT_MAX,min_idx;
for(int i=0;i<v;i++)
{
if(visited[i]==false && key[i]<=min)
{
min=key[i];
min_idx=i;
}
}
return min_idx;
}
void dijkstra(int graph[v][v])
{
int key[v],u,j;
bool visited[v];
for(int i=0;i<v;i++)
{
visited[i]=false;
key[i]=INT_MAX;
}
key[0]=0;
for(int i=0;i<v-1;i++)
{
u=min_indx(key,visited);
visited[u]=true;
for(int j=0;j<v;j++)
{
if(!visited[j] && graph[u][j] && key[u]!=INT_MAX
&& key[u]+graph[u][j]<key[j])
{
key[j]=key[u]+graph[u][j];
}
}
}
printf("source \tvertex minimal distance\n");
j=0;
for (char i = 'a'; i < 'l'; i++)
{
printf("%c \t %c \t %d\n",'a', i, key[j++]);
}
}
int main()
{
int graph[v][v] = { { 0, 3, 5, 4, 0, 0, 0, 0, 0,0,0,0 },
{ 3, 0, 0, 0, 3, 6, 0, 0, 0,0,0,0 },
{ 5, 0, 0, 2, 0, 0, 4, 0, 0,0,0,0 },
{ 4, 0, 2, 0, 1, 0, 0, 5, 0,0,0,0 },
{ 0, 3, 0, 2, 0, 2, 0, 0, 4,0,0,0 },
{ 0, 6, 0, 0, 2, 0, 0, 0, 0,5,0,0 },
{ 0, 0, 4, 0, 0, 0, 0, 3, 0,0,6,0 },
{ 0, 0, 0, 5, 0, 0, 3, 0, 6,0,7,0 },
{ 0, 0, 0, 0, 4, 0, 0, 6, 0,3,0,5 },
{ 0, 0, 0, 0, 0, 5, 0, 0, 3,0,0,9 },
{ 0, 0, 0, 0, 0, 0, 6, 7, 0,0,0,8 },
{ 0, 0, 0, 0, 0, 0, 0, 0, 5,9,8,0 }};
dijkstra(graph);
return 0;
}

source vertex minimal distance
a a 0
a b 3
a c 5
a d 4
a e 5
a f 7
a g 9
a h 9
a i 9
a j 12
a k 15
2. Apply Dijkstra’s algorithm as discussed in class to solve the single-source shortest-paths problem for the...
Apply Dijkstra's algorithm as discussed in class to solve the single-source shortest-paths problem for the following graph. Consider node A to be the source. (20 points) a. Show the completed table. b. State the shortest path from A to E and state its length. State the shortest path from A to F A 9 and state its length. d. State the shortest path from A to G 17 and state its length. 7 C. 12 B 8 10 D 8...
5. Apply Dijkstra's algorithm as discussed in class to solve the single-source shortest-paths problem for the following graph. Consider node A to be the source. (20 points) a. Show the completed table. b. State the shortest path from A to E and state its length. C. State the shortest path from A to F and state its length. d. State the shortest path from A to G and state its length. A 12 9 B 17 8 7 10 8...
5. How would you adapt Dijkstra’s algorithm to solve the single-destination shortest paths problem? In other words, find the shortest path from each node to a single destination node. Consider this question for both (a) undirected and (b) directed graphs.
Dijkstra’s Algorithm: You have to implement the Dijkstra’s
algorithm and apply it on the graph provided below.
You have to take the input from the user as an adjacency matrix
representing the graph, the source, the destination. Then you have
to apply the Dijkstra’s algorithm to find the shortest path from
the source and the destination, and find the shortest
route between the source and the destination.
For the input you have to read it from a file. It will...
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Consider the network shown below. Use Dijkstra's algorithm to find the shortest paths from node a to all other nodes. Enter your answers in the a shortest path answers in the following format: node-node-node. For example, if the ssignment link. Enter the shortest path from a to c is through node b, you would enter the answer as: a-b-c 3 5 6 6
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...
show that the single-source shortest paths constructed by dijkstra's algorithm on a connected undirected graph from a spinning tree
Design and implement Dijkstra’s algorithm to
compute all-pair shortest paths in any given graph using
An adjacency matrix using a one-dimensional array for
storing only the elements of the lower triangle in the adjacency
matrix.[Program in C language]
The input to program must be connected, undirected, and weighted
graphs. The programs must be able to find shortest paths on two
types of connected, undirected, and weighted graphs: complete graph
(a graph with a link between every pair of nodes) and...