最大流图算法
有人知道应该使用哪种算法来找到无向图中的最大流吗?
据我了解,这里的无向网络基本上将图变成了多重图由两个“普通”肋和两个“假”肋连接的顶点,例如在Ford-Fulkerson
算法中使用。
但是我应该如何处理多重图的情况呢?
Does someone know which algorithm should be used to find the maximal flow in the unoriented graph?
As far as I understand, the unoriented network here basically turns the graph into a multigraph with vertices connected by two "ordinary" ribs and two "fake" ribs, which are, for example used in the Ford-Fulkerson
algorithm.
But how should I handle the case of a multigraph?
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如果您有无向边
,则可以将其转换为两个有向边:
Ford-Fulkerson 方法可以完美地处理此类图。
If you have unoriented edge
then you can turn it into two oriented edges:
Ford-Fulkerson method works on such graphs perfectly.