Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/5797
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dc.contributor.authorGAIKWAD, AJINKYAen_US
dc.contributor.authorMAITY, SOUMENen_US
dc.contributor.authorTRIPATHI, SHUVAM KANTen_US
dc.date.accessioned2021-04-12T04:13:55Z
dc.date.available2021-04-12T04:13:55Z
dc.date.issued2020-12en_US
dc.identifier.citationCombinatorial Optimization and Applications, 76-90.en_US
dc.identifier.isbn9783030648435en_US
dc.identifier.isbn9783030648435en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/5797-
dc.description.abstractThe Satisfactory Partition problem consists in deciding if the set of vertices of a given undirected graph can be partitioned into two nonempty parts such that each vertex has at least as many neighbours in its part as in the other part. The Balanced Satisfactory Partition problem is a variant of the above problem where the two partite sets are required to have the same cardinality. Both problems are known to be NP-complete. This problem was introduced by Gerber and Kobler [European J. Oper. Res. 125 (2000) 283-291] and further studied by other authors, but its parameterized complexity remains open until now. We enhance our understanding of the problem from the viewpoint of parameterized complexity. The three main results of the paper are the following: (1) The Satisfactory Partition problem is polynomial-time solvable for block graphs, (2) The Satisfactory Partition problem and its balanced version can be solved in polynomial time for graphs of bounded clicque-width, and (3) A generalized version of the Satisfactory Partition problem is W[1]-hard when parametrized by treewidth.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.subjectClique-widthen_US
dc.subject2020en_US
dc.titleParameterized Complexity of Satisfactory Partition Problemen_US
dc.typeBook chapteren_US
dc.contributor.departmentDept. of Mathematicsen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-64843-5_6en_US
dc.identifier.sourcetitleCombinatorial Optimization and Applicationsen_US
dc.publication.originofpublisherForeignen_US
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