On the parameterized complexity of SPARSEST CUT and SMALL-SET EXPANSION problems

被引:0
作者
Javadi, Ramin [1 ,2 ]
Nikabadi, Amir [3 ]
机构
[1] Isfahan Univ Technol, Dept Math Sci, POB 84156-83111, Esfahan, Iran
[2] Inst Res Fundamental Sci IPM, Sch Math, POB 19395-5746, Tehran, Iran
[3] Univ Paris 09, Univ PSL, CNRS, LAMSADE, F-75016 Paris, France
关键词
Parameterized complexity; Sparsest Cut; Vertex cover; Treewidth; Small-set expansion; FIXED NUMBER;
D O I
10.1016/j.dam.2024.04.014
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We present a parameterized dichotomy for the k-SPARSEST CUT problem in weighted and unweighted versions. In particular, we show that the weighted k-SPARSEST CUT problem is NP-hard for every k >= 3 even on graphs with bounded vertex cover number. Also, the unweighted k-SPARSEST CUT problem is W[1]-hard when parameterized by the three combined parameters tree-depth, feedback vertex set number, and k. On the positive side, we show that the unweighted k-SPARSEST CUT problem is FPT when parameterized by the vertex cover number and k, and when k is fixed, it is FPT with respect to the treewidth. Moreover, we show that the generalized version kappa-SMALL-SET EXPANSION problem is FPT when parameterized by kappa and the maximum degree of the graph, though it is W[1]-hard for each of these parameters separately. (c) 2024 Elsevier B.V. All rights reserved.
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页码:1 / 12
页数:12
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