조합 최적화 - 일반적인 문제 - 최소 정점 코팅 문제

최소 정점 코팅 문제

실행 방법

Signature: min_node_cover(g, weight='weight')
Docstring:
最小頂点被覆問題
入力
    g: グラフ
    weight: 重みの属性文字
出力
    頂点リスト

# CSVデータ
import pandas as pd, networkx as nx, matplotlib.pyplot as plt
from ortoolpy import graph_from_table, networkx_draw, min_node_cover
tbn = pd.read_csv('data/node0.csv')
tbe = pd.read_csv('data/edge0.csv')
g = graph_from_table(tbn, tbe)[0]
t = min_node_cover(g)
pos = networkx_draw(g, node_color='white')
nx.draw_networkx_nodes(g, pos, nodelist=t)
plt.show()
print(t)

[0, 2, 3, 5]

# 乱数データ
import networkx as nx, matplotlib.pyplot as plt
from ortoolpy import min_node_cover, networkx_draw
g = nx.random_graphs.fast_gnp_random_graph(10, 0.3, 1)
l = min_node_cover(g)
pos = networkx_draw(g, nx.spring_layout(g), node_color='white')
nx.draw_networkx_nodes(g, pos, nodelist=l)
plt.show()

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