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arXiv:2611.16729 · v1

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
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摘要

We consider valued constraint satisfaction problems (VCSPs) with a fixed finite domain DD and a fixed finite constraint language ΓΓ, in the setting where ΓΓ 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 cΓc_Γ be the size of the largest set S⊆DS\subseteq D such that ΓΓ can express (using the usual VCSP closure operations) a binary disequality function on elements of SS. Our main result tightly connects the complexity of the problem parameterized by treewidth to this value cΓc_Γ. (1) The problem can be solved in time (cΓ)tw⋅(∣I∣+∣T∣)O(1)(c_Γ)^{\mathsf{tw}} \cdot (|I| + |\mathcal{T}|)^{O(1)} when given an instance II with a tree decomposition T\mathcal{T} of width tw\mathsf{tw} of the primal graph of II. (2) If cΓ≥2c_Γ\geq 2, there is no such algorithm solving the problem in time (cΓ−ε)tw⋅(∣I∣+∣T∣)O(1)(c_Γ- \varepsilon)^{\mathsf{tw}} \cdot (|I| + |\mathcal{T}|)^{O(1)} for any ε>0\varepsilon > 0, 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.

作者备注:The abstract has been truncated for arXiv

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v1 · 2026-11-12 20:41 · 最新观测版本

Tight Algorithms for Conservative Finite-Valued CSPs Parameterized by Treewidth

We consider valued constraint satisfaction problems (VCSPs) with a fixed finite domain DD and a fixed finite constraint language ΓΓ, in the setting where ΓΓ 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 cΓc_Γ be the size of the largest set S⊆DS\subseteq D such that ΓΓ can express (using the usual VCSP closure operations) a binary disequality function on elements of SS. Our main result tightly connects the complexity of the problem parameterized by treewidth to this value cΓc_Γ. (1) The problem can be solved in time (cΓ)tw⋅(∣I∣+∣T∣)O(1)(c_Γ)^{\mathsf{tw}} \cdot (|I| + |\mathcal{T}|)^{O(1)} when given an instance II with a tree decomposition T\mathcal{T} of width tw\mathsf{tw} of the primal graph of II. (2) If cΓ≥2c_Γ\geq 2, there is no such algorithm solving the problem in time (cΓ−ε)tw⋅(∣I∣+∣T∣)O(1)(c_Γ- \varepsilon)^{\mathsf{tw}} \cdot (|I| + |\mathcal{T}|)^{O(1)} for any ε>0\varepsilon > 0, 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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