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Minimum k-cut
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Minimum k-cut : ウィキペディア英語版
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 ''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.
==Formal definition==
Given an undirected graph ''G'' = (''V'', ''E'') with an assignment of weights to the edges ''w'': ''E'' → ''N'' and an integer ''k'' ∈ , partition ''V'' into ''k'' disjoint sets ''F'' =  while minimizing
: \sum_^\sum_^k\sum_} w ( \left \ )
For a fixed ''k'', the problem is polynomial time solvable in ''O''(|''V''|''k''2).〔.〕 However, the problem is NP-complete if ''k'' is part of the input. It is also NP-complete if we specify k vertices and ask for the minimum k-cut which separates these vertices among each of the sets.〔(), which cites ()〕

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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