FindMinimumCut
gives the minimum cut of the graph g.
FindMinimumCut[{vw,…}]
uses rules vw to specify the graph g.
Details and Options
- A minimum k-cut of a graph g is a partition of vertices of g into k disjoint subsets with the smallest number of edges between them.
- FindMinimumCut returns a list of the form {cmin,{c1,c2,…}}, where cmin is the value of a minimum cut found, and {c1,c2,…} is a partition of the vertices for which it is found.
- For weighted graphs, FindMinimumCut gives a partition {c1,c2,…} with the smallest sum of edge weights possible between the sets ci.
- The following option can be given:
-
EdgeWeight Automatic edge weight for each edge
Examples
open allclose allScope (7)
FindMinimumCut works with undirected graphs:
Use rules to specify the graph:
FindMinimumCut works with large graphs:
Options (1)
EdgeWeight (1)
By default, the edge weight of an edge is taken to be its EdgeWeight property if available, otherwise 1:
Use EdgeWeight->weights to set the edge weight:
Properties & Relations (3)
Use FindGraphPartition to find a cut with approximately equal-sized parts:
EdgeConnectivity is the same as the value of a minimum cut:
Use FindEdgeCut to obtain edges between cut sets:
Text
Wolfram Research (2012), FindMinimumCut, Wolfram Language function, https://reference.wolfram.com/language/ref/FindMinimumCut.html (updated 2015).
CMS
Wolfram Language. 2012. "FindMinimumCut." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2015. https://reference.wolfram.com/language/ref/FindMinimumCut.html.
APA
Wolfram Language. (2012). FindMinimumCut. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/FindMinimumCut.html