Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6633
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dc.contributor.authorGAIKWAD, AJINKYA
dc.contributor.authorMAITY, SOUMEN
dc.contributor.editorDu, Ding-Zhu
dc.contributor.editorDu, Donglei
dc.contributor.editorWu, Chenchen
dc.contributor.editorXu, Dachuan
dc.date.accessioned2022-03-29T11:53:25Z
dc.date.available2022-03-29T11:53:25Z
dc.date.issued2021-12
dc.identifier.citationCombinatorial Optimization and Applications, 579–586.en_US
dc.identifier.isbn978-3-030-92681-6
dc.identifier.isbn978-3-030-92680-9
dc.identifier.uri978-3-030-92680-9en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6633
dc.description.abstractThe OFFENSIVE ALLIANCE problem has been studied extensively during the last twenty years. A set S⊆V of vertices is an offensive alliance in an undirected graph G=(V,E) if each v∈N(S) has at least as many neighbours in S as it has neighbours (including itself) outside S. We study the parameterzied complexity of the OFFENSIVE ALLIANCE problem, where the aim is to find a minimum size offensive alliance. Our focus here lies on parameters that measure the structural properties of the input instance. We enhance our understanding of the problem from the viewpoint of parameterized complexity by showing that the OFFENSIVE ALLIANCE problem is W[1]-hard parameterized by a wide range of fairly restrictive structural parameters such as the feedback vertex set number, treewidth, pathwidth, and treedepth of the input graph. We also prove that the STRONG OFFENSIVE ALLIANCE problem parameterized by the vertex cover number of the input graph does not admit a polynomial compression unless coNP ⊆ NP/polyen_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.subjectDefensive and offensive allianceen_US
dc.subjectParameterized complexityen_US
dc.subjectFPTen_US
dc.subjectW[1]-harden_US
dc.subjectTreewidthen_US
dc.subject2021en_US
dc.titleOn Structural Parameterizations of the Offensive Alliance Problemen_US
dc.typeBook chapteren_US
dc.contributor.departmentDept. of Mathematicsen_US
dc.title.bookCombinatorial Optimization and Applicationsen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-92681-6_45en_US
dc.identifier.sourcetitleCombinatorial Optimization and Applicationsen_US
dc.publication.originofpublisherForeignen_US
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