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dc.contributor.authorWilliams, Virginia Vassilevska
dc.date.accessioned2021-11-08T18:48:16Z
dc.date.available2021-11-08T18:48:16Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/1721.1/137773
dc.description.abstractWe consider the maximum weight matching (MWM) problem in dynamic graphs. We provide two reductions. The first reduces the dynamic MWM problem on m-edge, n-node graphs with weights bounded by N to the problem with weights bounded by (n/ϵ)2;), so that if the MWM problem can be α-Approximated with update time t(m, n,N), then it can also be (1+ϵ)α-Approximated with update time O(t(m, n, (n/ϵ)2;)) log2 n + log n log logN)). The second reduction reduces the dynamic MWM problem to the dynamic maximum cardinality matching (MCM) problem in which the graph is unweighted. This reduction shows that if there is an --Approximation algorithm for MCM with update time t(m, n) in m-edge n-node graphs, then there is also a (2 + ϵ)α-approximation algorithm for MWM with update time O(t(m, n) ϵ-2 log2N). We also obtain better bounds in our reductions if the ratio between the largest and the smallest edge weight is small. Combined with recent work on MCM, these two reductions substantially improve upon the state-of-The-Art of dynamic MWM algorithms.en_US
dc.language.isoen
dc.relation.isversionof10.4230/LIPIcs.ITCS.2017.58en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceDROPSen_US
dc.titleMetatheorems for dynamic weighted matchingen_US
dc.typeArticleen_US
dc.identifier.citationWilliams, Virginia Vassilevska. 2017. "Metatheorems for dynamic weighted matching."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-07-09T13:20:57Z
dspace.date.submission2019-07-09T13:20:58Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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