Effectiveness of Structural Restrictions for Hybrid CSPs
Vladimir Kolmogorov, Michal Rolinek, Rustem Takhanov

TL;DR
This paper investigates which structural restrictions on both sides of a CSP make the problem tractable, providing a characterization based on the chromatic number and extending algebraic methods to the hybrid setting.
Contribution
It introduces a characterization for effective structural restrictions in hybrid CSPs, generalizing the chromatic number concept and applying algebraic techniques to this broader context.
Findings
Characterization for restrictions closed under inverse homomorphisms.
Extension of results to minor-closed graph families.
Implications for Valued CSPs and related problems.
Abstract
Constraint Satisfaction Problem (CSP) is a fundamental algorithmic problem that appears in many areas of Computer Science. It can be equivalently stated as computing a homomorphism \mbox{\bR \rightarrow \bGamma} between two relational structures, e.g.\ between two directed graphs. Analyzing its complexity has been a prominent research direction, especially for {\em fixed template CSPs} in which the right side is fixed and the left side is unconstrained. Far fewer results are known for the {\em hybrid} setting that restricts both sides simultaneously. It assumes that belongs to a certain class of relational structures (called a {\em structural restriction} in this paper). We study which structural restrictions are {\em effective}, i.e.\ there exists a fixed template (from a certain class of languages) for which the problem is tractable when is…
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