Computational problems in graph theory | Combinatorial optimization | Approximation algorithms | NP-complete problems

Minimum k-cut

In mathematics, the minimum k-cut, is a combinatorial optimization problem that requires finding a set of edges whose removal would partition the graph to at least k connected components. These edges are referred to as k-cut. The goal is to find the minimum-weight k-cut. This partitioning can have applications in VLSI design, data-mining, finite elements and communication in parallel computing. (Wikipedia).

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Related pages

Combinatorial optimization | Minimum cut | Complete graph | Maximum cut | Triangle inequality | Gomory–Hu tree | Greedy algorithm