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from heapq import *
from collections import defaultdict
graph = [
(7, 'A', 'B'), (5, 'A', 'D'),
(8, 'B', 'C'), (8, 'B', 'D'), (7, 'B', 'E'),
(5, 'C', 'E'),
(7, 'D', 'E'), (6, 'D', 'F'),
(8, 'E', 'F'), (9, 'E', 'G'),
(11, 'F', 'G')
]
def prim(start_node, edges):
mst = list()
adj_edges = defaultdict(list)
for weight, n1, n2 in edges:
adj_edges[n1].append((weight, n1, n2))
adj_edges[n2].append((weight, n2, n1))
connected_nodes = set(start_node)
candidate_edge_list = adj_edges[start_node]
heapify(candidate_edge_list)
while candidate_edge_list:
weight, n1, n2 = heappop(candidate_edge_list)
if n2 not in connected_nodes:
connected_nodes.add(n2)
mst.append((weight, n1, n2))
for edge in adj_edges[n2]:
if edge[2] not in connected_nodes:
heappush(candidate_edge_list, edge)
return mst
print(prim('A', graph))
프림(Prim) 알고리즘(기본 예제)
This post is licensed under CC BY 4.0 by the author.