Sparsification of binary CSPs

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  • dc.contributor.author Butti, Silvia
  • dc.contributor.author Stanislav Zivný
  • dc.date.accessioned 2020-03-26T13:04:01Z
  • dc.date.available 2020-03-26T13:04:01Z
  • dc.date.issued 2020
  • dc.description.abstract A cut ε-sparsifier of a weighted graph G is a re-weighted subgraph of G of (quasi)linear size that preserves the size of all cuts up to a multiplicative factor of ε. Since their intro- duction by Bencz´ur and Karger [STOC’96], cut sparsifiers have proved extremely influen- tial and found various applications. Going beyond cut sparsifiers, Filtser and Krauthgamer [SIDMA’17] gave a precise classification of which binary Boolean CSPs are sparsifiable. In this paper, we extend their result to binary CSPs on arbitrary finite domains.en
  • dc.description.sponsorship Stanislav ˇZivn´y was supported by a Royal Society University Research Fellowship. Work mostly done while Silvia Butti was at the University of Oxford. The project that gave rise to these results received the support of a fellowship from “a Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/DI18/11660056. This project has received funding from the European Unions Horizon 2020 research and innovation programme grant agreement No 714530 and under the Marie Sk lodowska-Curie grant agreement No 713673.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Butti S, Zivný S. Sparsification of binary CSPs. SIAM J Discret Math. 2020 Mar 23;34(1):825–42. DOI: 10.1137/19M1242446
  • dc.identifier.doi http://dx.doi.org/10.1137/19M1242446
  • dc.identifier.issn 0895-4801
  • dc.identifier.uri http://hdl.handle.net/10230/44049
  • dc.language.iso eng
  • dc.publisher SIAM (Society for Industrial and Applied Mathematics)
  • dc.relation.ispartof SIAM journal on discrete mathematics. 2020 Mar 23;34(1):825–42.
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/714530
  • dc.rights © Society for Industrial and Applied Mathematics
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword Constraint satisfaction problemsen
  • dc.subject.keyword Minimum cutsen
  • dc.subject.keyword Sparsificationen
  • dc.title Sparsification of binary CSPs
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/acceptedVersion