License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.MFCS.2020.85
URN: urn:nbn:de:0030-drops-127566
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/12756/
Viola, Caterina ;
Živný, Stanislav
The Combined Basic LP and Affine IP Relaxation for Promise VCSPs on Infinite Domains
Abstract
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).
BibTeX - Entry
@InProceedings{viola_et_al:LIPIcs:2020:12756,
author = {Caterina Viola and Stanislav Živn{\'y}},
title = {{The Combined Basic LP and Affine IP Relaxation for Promise VCSPs on Infinite Domains}},
booktitle = {45th International Symposium on Mathematical Foundations of Computer Science (MFCS 2020)},
pages = {85:1--85:15},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-159-7},
ISSN = {1868-8969},
year = {2020},
volume = {170},
editor = {Javier Esparza and Daniel Kr{\'a}ľ},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2020/12756},
URN = {urn:nbn:de:0030-drops-127566},
doi = {10.4230/LIPIcs.MFCS.2020.85},
annote = {Keywords: promise constraint satisfaction, valued constraint satisfaction, convex relaxations, polymorphisms}
}
Keywords: |
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promise constraint satisfaction, valued constraint satisfaction, convex relaxations, polymorphisms |
Collection: |
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45th International Symposium on Mathematical Foundations of Computer Science (MFCS 2020) |
Issue Date: |
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2020 |
Date of publication: |
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18.08.2020 |