Solving Cut-Problems in Quadratic Time for Graphs with Bounded Treewidth
نویسندگان
چکیده
In the problem (Unweighted) Max-Cut we are given a graph $$G = (V,E)$$ and asked for set $$S \subseteq V$$ such that number of edges from S to $$V \setminus S$$ is maximal. this paper consider an even harder problem: (Weighted) Max-Bisection. Here undirected weight function $$w :E \rightarrow \mathbb {Q}_{>0}$$ task find (i) sum weights maximal; (ii) contains $$\lceil * \rceil {\frac{n}{2}}$$ vertices (where $$n | V |$$ ). We design framework allows solve in time $$\mathcal {O}(2^t n^2)$$ if tree decomposition width t as part input. This improves previously best running Max-Bisection Hanaka, Kobayashi, Sone [9] by factor $$t^2$$ . Under common hardness assumptions, neither dependence on exponent nor n can be reduced [7, 9, 16]. Our applied other cut problems like Min-Edge-Expansion, Sparsest-Cut, Densest-Cut, $$\beta $$ -Balanced-Min-Cut, Min-Bisection. It also works setting with arbitrary directed edges.
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ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2023
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-031-23101-8_3