License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CP.2022.4
URN: urn:nbn:de:0030-drops-166332
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16633/
Barto, Libor ;
Butti, Silvia
Weisfeiler-Leman Invariant Promise Valued CSPs
Abstract
In a recent line of work, Butti and Dalmau have shown that a fixed-template Constraint Satisfaction Problem is solvable by a certain natural linear programming relaxation (equivalent to the basic linear programming relaxation) if and only if it is solvable on a certain distributed network, and this happens if and only if its set of Yes instances is closed under Weisfeiler-Leman equivalence. We generalize this result to the much broader framework of fixed-template Promise Valued Constraint Satisfaction Problems. Moreover, we show that two commonly used linear programming relaxations are no longer equivalent in this broader framework.
BibTeX - Entry
@InProceedings{barto_et_al:LIPIcs.CP.2022.4,
author = {Barto, Libor and Butti, Silvia},
title = {{Weisfeiler-Leman Invariant Promise Valued CSPs}},
booktitle = {28th International Conference on Principles and Practice of Constraint Programming (CP 2022)},
pages = {4:1--4:17},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-240-2},
ISSN = {1868-8969},
year = {2022},
volume = {235},
editor = {Solnon, Christine},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2022/16633},
URN = {urn:nbn:de:0030-drops-166332},
doi = {10.4230/LIPIcs.CP.2022.4},
annote = {Keywords: Promise Valued Constraint Satisfaction Problem, Linear programming relaxation, Distributed algorithms, Symmetric fractional polymorphisms, Color refinement algorithm}
}
Keywords: |
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Promise Valued Constraint Satisfaction Problem, Linear programming relaxation, Distributed algorithms, Symmetric fractional polymorphisms, Color refinement algorithm |
Collection: |
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28th International Conference on Principles and Practice of Constraint Programming (CP 2022) |
Issue Date: |
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2022 |
Date of publication: |
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23.07.2022 |