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prim_mst.c
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prim_mst.c
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// Prim's Algorithm in C
#include <stdio.h>
#include <string.h>
#define INF 9999999
// number of vertices in graph
#define V 6
// create a 2d array of size 5x5
//for adjacency matrix to represent graph
int G[V][V] = {
{0, 6, 1, 5, 0, 0},
{6, 0, 5, 0, 3, 0},
{1, 5, 0, 5, 6, 4},
{5, 0, 5, 0, 0, 2},
{0, 3, 6, 0, 0, 6},
{0, 0, 4, 2, 6, 0}};
int main() {
int no_edge; // number of edge
// create a array to track selected vertex
// selected will become true otherwise false
int selected[V];
// set selected false initially
memset(selected, false, sizeof(selected));
// set number of edge to 0
no_edge = 0;
// the number of egde in minimum spanning tree will be
// always less than (V -1), where V is number of vertices in
//graph
// choose 0th vertex and make it true
selected[0] = true;
int x; // row number
int y; // col number
// print for edge and weight
printf("Edge : Weight\n");
while (no_edge < V - 1) {
int min = INF;
x = 0;
y = 0;
for (int i = 0; i < V; i++) {
if (selected[i]) {
for (int j = 0; j < V; j++) {
if (!selected[j] && G[i][j]) { // not in selected and there is an edge
if (min > G[i][j]) {
min = G[i][j];
x = i;
y = j;
}
}
}
}
}
printf("%d - %d : %d\n", x, y, G[x][y]);
selected[y] = true;
no_edge++;
}
return 0;
}
// python
/*
# Prim's Algorithm in Python
INF = 9999999
# number of vertices in graph
V = 5
# create a 2d array of size 5x5
# for adjacency matrix to represent graph
G = [[0, 9, 75, 0, 0],
[9, 0, 95, 19, 42],
[75, 95, 0, 51, 66],
[0, 19, 51, 0, 31],
[0, 42, 66, 31, 0]]
# create a array to track selected vertex
# selected will become true otherwise false
selected = [0, 0, 0, 0, 0]
# set number of edge to 0
no_edge = 0
# the number of egde in minimum spanning tree will be
# always less than(V - 1), where V is number of vertices in
# graph
# choose 0th vertex and make it true
selected[0] = True
# print for edge and weight
print("Edge : Weight\n")
while (no_edge < V - 1):
# For every vertex in the set S, find the all adjacent vertices
#, calculate the distance from the vertex selected at step 1.
# if the vertex is already in the set S, discard it otherwise
# choose another vertex nearest to selected vertex at step 1.
minimum = INF
x = 0
y = 0
for i in range(V):
if selected[i]:
for j in range(V):
if ((not selected[j]) and G[i][j]):
# not in selected and there is an edge
if minimum > G[i][j]:
minimum = G[i][j]
x = i
y = j
print(str(x) + "-" + str(y) + ":" + str(G[x][y]))
selected[y] = True
no_edge += 1
*/