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Tight Algorithms for Conservative Finite-Valued CSPs Parameterized by Treewidth
首次提交 2026-11-12 20:41
版本更新 2026-11-12 20:41
雷达观测 2026-11-13 14:15
摘要
We consider valued constraint satisfaction problems (VCSPs) with a fixed finite domain and a fixed finite constraint language , in the setting where contains all crisp unary constraints (called hard lists) and the remaining cost functions are finite-valued. We call such a language a finite-valued hard-list language. Let be the size of the largest set such that can express (using the usual VCSP closure operations) a binary disequality function on elements of . Our main result tightly connects the complexity of the problem parameterized by treewidth to this value . (1) The problem can be solved in time when given an instance with a tree decomposition of width of the primal graph of . (2) If , there is no such algorithm solving the problem in time for any , unless the Primal Treewidth SETH (and hence CNF-SETH) fails. In particular, this gives a far-reaching generalization of a similar result of Esmer et al. [ESA 2024] on the optimization version of list homomorphism for graphs.
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Tight Algorithms for Conservative Finite-Valued CSPs Parameterized by Treewidth
We consider valued constraint satisfaction problems (VCSPs) with a fixed finite domain and a fixed finite constraint language , in the setting where contains all crisp unary constraints (called hard lists) and the remaining cost functions are finite-valued. We call such a language a finite-valued hard-list language. Let be the size of the largest set such that can express (using the usual VCSP closure operations) a binary disequality function on elements of . Our main result tightly connects the complexity of the problem parameterized by treewidth to this value . (1) The problem can be solved in time when given an instance with a tree decomposition of width of the primal graph of . (2) If , there is no such algorithm solving the problem in time for any , unless the Primal Treewidth SETH (and hence CNF-SETH) fails. In particular, this gives a far-reaching generalization of a similar result of Esmer et al. [ESA 2024] on the optimization version of list homomorphism for graphs.
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