comparison env/lib/python3.9/site-packages/networkx/algorithms/approximation/matching.py @ 0:4f3585e2f14b draft default tip

"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author shellac
date Mon, 22 Mar 2021 18:12:50 +0000
parents
children
comparison
equal deleted inserted replaced
-1:000000000000 0:4f3585e2f14b
1 """
2 **************
3 Graph Matching
4 **************
5
6 Given a graph G = (V,E), a matching M in G is a set of pairwise non-adjacent
7 edges; that is, no two edges share a common vertex.
8
9 `Wikipedia: Matching <https://en.wikipedia.org/wiki/Matching_(graph_theory)>`_
10 """
11 import networkx as nx
12
13 __all__ = ["min_maximal_matching"]
14
15
16 def min_maximal_matching(G):
17 r"""Returns the minimum maximal matching of G. That is, out of all maximal
18 matchings of the graph G, the smallest is returned.
19
20 Parameters
21 ----------
22 G : NetworkX graph
23 Undirected graph
24
25 Returns
26 -------
27 min_maximal_matching : set
28 Returns a set of edges such that no two edges share a common endpoint
29 and every edge not in the set shares some common endpoint in the set.
30 Cardinality will be 2*OPT in the worst case.
31
32 Notes
33 -----
34 The algorithm computes an approximate solution fo the minimum maximal
35 cardinality matching problem. The solution is no more than 2 * OPT in size.
36 Runtime is $O(|E|)$.
37
38 References
39 ----------
40 .. [1] Vazirani, Vijay Approximation Algorithms (2001)
41 """
42 return nx.maximal_matching(G)