Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4847
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dc.contributor.authorSingh, Ranveeren_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:35:44Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:35:44Z-
dc.date.issued2020-
dc.identifier.citationSingh, R. (2020). Parameterized complexity of determinant and permanent. Theoretical Computer Science, 845, 50-58. doi:10.1016/j.tcs.2020.08.031en_US
dc.identifier.issn0304-3975-
dc.identifier.otherEID(2-s2.0-85090707326)-
dc.identifier.urihttps://doi.org/10.1016/j.tcs.2020.08.031-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/4847-
dc.description.abstractEvery square matrix A=(auv)∈Cn×n can be represented as a digraph having n vertices. In the digraph, a block (or 2-connected component) is a maximally connected subdigraph that has no cut-vertex. The determinant and the permanent of a matrix can be calculated in terms of the determinant and the permanent of some specific induced subdigraphs of the blocks in the digraph. Interestingly, these induced subdigraphs are vertex-disjoint and they partition the digraph. Such partitions of the digraph are called the B-partitions. In this paper, first, we develop an algorithm to find the B-partitions. Next, we analyze the parameterized complexity of matrix determinant and permanent, where, the parameters are the sizes of blocks and the number of cut-vertices of the digraph. We give a class of combinations of cut-vertices and block sizes for which the parametrized complexities beat the state of art complexities of the determinant and the permanent. © 2020 Elsevier B.V.en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.sourceTheoretical Computer Scienceen_US
dc.subjectComputational methodsen_US
dc.subjectComputer scienceen_US
dc.subjectBlock sizesen_US
dc.subjectCut vertexen_US
dc.subjectMatrix determinanten_US
dc.subjectParameterized complexityen_US
dc.subjectParametrized complexityen_US
dc.subjectSquare matricesen_US
dc.subjectVertex disjointen_US
dc.subjectDirected graphsen_US
dc.titleParameterized complexity of determinant and permanenten_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Computer Science and Engineering

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