Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/5794
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dc.contributor.authorMAITY, SOUMENen_US
dc.date.accessioned2021-04-11T17:08:20Z
dc.date.available2021-04-11T17:08:20Z
dc.date.issued2020-12en_US
dc.identifier.citationCombinatorial Optimization and Applications, 257-269.en_US
dc.identifier.isbn9783030648428en_US
dc.identifier.isbn9783030648435en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/5794-
dc.description.abstractGiven a graph G=(V,E) , the vertex expansion of a set S⊂V is defined as ΦV(S)=|N(S)en_US
dc.description.abstractS|. In the Small Set Vertex Expansion (SSVE) problem, we are given a graph G=(V,E) and a positive integer k≤|V(G)|2 , the goal is to return a set S⊂V(G) of k nodes minimizing the vertex expansion ΦV(S)=|N(S)|k ; equivalently minimizing |N(S)|. SSVE has not been as well studied as its edge-based counterpart Small Set Expansion (SSE). SSE, and SSVE to a less extend, have been studied due to their connection to other hard problems including the Unique Games Conjecture and Graph Colouring. Using the hardness of Minimum k-Union problem, we prove that Small Set Vertex Expansion problem is NP-complete. We enhance our understanding of the problem from the viewpoint of parameterized complexity by showing that (1) the problem is W[1]-hard when parameterized by k, (2) the problem is fixed-parameter tractable (FPT) when parameterized by the neighbourhood diversity nd, and (3) it is fixed-parameter tractable (FPT) when parameterized by treewidth tw of the input graph.en_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.subjectParameterized complexityen_US
dc.subjectFPTen_US
dc.subjectW[1]-harden_US
dc.subjectTreewidthen_US
dc.subjectNeighbourhood diversityen_US
dc.subject2020en_US
dc.titleThe Small Set Vertex Expansion Problemen_US
dc.typeBook chapteren_US
dc.contributor.departmentDept. of Mathematicsen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-64843-5_18en_US
dc.identifier.sourcetitleInternational Conference on Combinatorial Optimization and Applicationsen_US
dc.publication.originofpublisherForeignen_US
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