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# A Python program for Prim's Minimum Spanning Tree (MST) algorithm. | ||
# The program is for adjacency matrix representation of the graph | ||
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import sys # Library for INT_MAX | ||
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class Graph(): | ||
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def __init__(self, vertices): | ||
self.V = vertices | ||
self.graph = [[0 for column in range(vertices)] | ||
for row in range(vertices)] | ||
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# A utility function to print the constructed MST stored in parent[] | ||
def printMST(self, parent): | ||
print "Edge \tWeight" | ||
for i in range(1, self.V): | ||
print parent[i], "-", i, "\t", self.graph[i][ parent[i] ] | ||
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# A utility function to find the vertex with | ||
# minimum distance value, from the set of vertices | ||
# not yet included in shortest path tree | ||
def minKey(self, key, mstSet): | ||
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# Initilaize min value | ||
min = sys.maxint | ||
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for v in range(self.V): | ||
if key[v] < min and mstSet[v] == False: | ||
min = key[v] | ||
min_index = v | ||
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return min_index | ||
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# Function to construct and print MST for a graph | ||
# represented using adjacency matrix representation | ||
def primMST(self): | ||
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# Key values used to pick minimum weight edge in cut | ||
key = [sys.maxint] * self.V | ||
parent = [None] * self.V # Array to store constructed MST | ||
# Make key 0 so that this vertex is picked as first vertex | ||
key[0] = 0 | ||
mstSet = [False] * self.V | ||
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parent[0] = -1 # First node is always the root of | ||
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for cout in range(self.V): | ||
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# Pick the minimum distance vertex from | ||
# the set of vertices not yet processed. | ||
# u is always equal to src in first iteration | ||
u = self.minKey(key, mstSet) | ||
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# Put the minimum distance vertex in | ||
# the shortest path tree | ||
mstSet[u] = True | ||
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# Update dist value of the adjacent vertices | ||
# of the picked vertex only if the current | ||
# distance is greater than new distance and | ||
# the vertex in not in the shotest path tree | ||
for v in range(self.V): | ||
# graph[u][v] is non zero only for adjacent vertices of m | ||
# mstSet[v] is false for vertices not yet included in MST | ||
# Update the key only if graph[u][v] is smaller than key[v] | ||
if self.graph[u][v] > 0 and mstSet[v] == False and key[v] > self.graph[u][v]: | ||
key[v] = self.graph[u][v] | ||
parent[v] = u | ||
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self.printMST(parent) | ||
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g = Graph(5) | ||
g.graph = [ [0, 2, 0, 6, 0], | ||
[2, 0, 3, 8, 5], | ||
[0, 3, 0, 0, 7], | ||
[6, 8, 0, 0, 9], | ||
[0, 5, 7, 9, 0]] | ||
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g.primMST(); | ||
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# Contributed by Divyanshu Mehta |