The power of Sherali-Adams relaxations for general-valued CSPs

<p>We give a precise algebraic characterisation of the power of Sherali-Adams relaxations for solvability of valued constraint satisfaction problems to optimality. The condition is that of bounded width which has already been shown to capture the power of local consistency methods for decision...

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Main Authors: Thapper, J, Zivny, S
Format: Journal article
Published: Society for Industrial and Applied Mathematics 2017
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author Thapper, J
Zivny, S
author_facet Thapper, J
Zivny, S
author_sort Thapper, J
collection OXFORD
description <p>We give a precise algebraic characterisation of the power of Sherali-Adams relaxations for solvability of valued constraint satisfaction problems to optimality. The condition is that of bounded width which has already been shown to capture the power of local consistency methods for decision CSPs and the power of semidefinite programming for robust approximation of CSPs.</p> <br/> <p>Our characterisation has several algorithmic and complexity consequences. On the algorithmic side, we show that several novel and many known valued constraint languages are tractable via the third level of the Sherali-Adams relaxation. For the known languages, this is a significantly simpler algorithm than the previously obtained ones. On the complexity side, we obtain a dichotomy theorem for valued constraint languages that can express an injective unary function. This implies a simple proof of the dichotomy theorem for conservative valued constraint languages established by Kolmogorov and Živný [JACM’13], and also a dichotomy theorem for the exact solvability of Minimum-Solution problems. These are generalisations of Minimum-Ones problems to arbitrary finite domains. Our result improves on several previous classifications by Khanna et al. [SICOMP’00], Jonsson et al. [SICOMP’08], and Uppman [ICALP’13].</p>
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spelling oxford-uuid:8c5fd2f8-0e4f-4c10-a4e0-984634fdb67b2022-03-26T22:44:08ZThe power of Sherali-Adams relaxations for general-valued CSPsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8c5fd2f8-0e4f-4c10-a4e0-984634fdb67bSymplectic Elements at OxfordSociety for Industrial and Applied Mathematics2017Thapper, JZivny, S<p>We give a precise algebraic characterisation of the power of Sherali-Adams relaxations for solvability of valued constraint satisfaction problems to optimality. The condition is that of bounded width which has already been shown to capture the power of local consistency methods for decision CSPs and the power of semidefinite programming for robust approximation of CSPs.</p> <br/> <p>Our characterisation has several algorithmic and complexity consequences. On the algorithmic side, we show that several novel and many known valued constraint languages are tractable via the third level of the Sherali-Adams relaxation. For the known languages, this is a significantly simpler algorithm than the previously obtained ones. On the complexity side, we obtain a dichotomy theorem for valued constraint languages that can express an injective unary function. This implies a simple proof of the dichotomy theorem for conservative valued constraint languages established by Kolmogorov and Živný [JACM’13], and also a dichotomy theorem for the exact solvability of Minimum-Solution problems. These are generalisations of Minimum-Ones problems to arbitrary finite domains. Our result improves on several previous classifications by Khanna et al. [SICOMP’00], Jonsson et al. [SICOMP’08], and Uppman [ICALP’13].</p>
spellingShingle Thapper, J
Zivny, S
The power of Sherali-Adams relaxations for general-valued CSPs
title The power of Sherali-Adams relaxations for general-valued CSPs
title_full The power of Sherali-Adams relaxations for general-valued CSPs
title_fullStr The power of Sherali-Adams relaxations for general-valued CSPs
title_full_unstemmed The power of Sherali-Adams relaxations for general-valued CSPs
title_short The power of Sherali-Adams relaxations for general-valued CSPs
title_sort power of sherali adams relaxations for general valued csps
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