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  • 标题:The Combined Basic LP and Affine IP Relaxation for Promise VCSPs on Infinite Domains
  • 本地全文:下载
  • 作者:Caterina Viola ; Stanislav Živn{'y
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:170
  • 页码:85:1-85:15
  • DOI:10.4230/LIPIcs.MFCS.2020.85
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:Convex relaxations have been instrumental in solvability of constraint satisfaction problems (CSPs), as well as in the three different generalisations of CSPs: valued CSPs, infinite-domain CSPs, and most recently promise CSPs. In this work, we extend an existing tractability result to the three generalisations of CSPs combined: We give a sufficient condition for the combined basic linear programming and affine integer programming relaxation for exact solvability of promise valued CSPs over infinite-domains. This extends a result of Brakensiek and Guruswami [SODA'20] for promise (non-valued) CSPs (on finite domains).
  • 关键词:promise constraint satisfaction; valued constraint satisfaction; convex relaxations; polymorphisms
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