Pliability and Approximating Max-CSPs
Miguel Romero, Marcin Wrochna, Stanislav \v{Z}ivn\'y

TL;DR
This paper introduces the concept of treewidth-pliability, providing a unified polynomial-time approximation scheme for a broad class of Max-2-CSPs and related problems, extending existing techniques to new graph classes.
Contribution
It defines treewidth-pliability as a sufficient condition for approximation, unifying Baker's layering and Szemerédi's regularity lemma approaches, and explores its connections to graph theory concepts.
Findings
Provides a polynomial-time approximation scheme for Max-2-CSPs under treewidth-pliability.
Extends applicability of approximation techniques to new classes of graphs.
Shows the condition cannot be used for exact solutions in general.
Abstract
We identify a sufficient condition, treewidth-pliability, that gives a polynomial-time algorithm for an arbitrarily good approximation of the optimal value in a large class of Max-2-CSPs parameterised by the class of allowed constraint graphs (with arbitrary constraints on an unbounded alphabet). Our result applies more generally to the maximum homomorphism problem between two rational-valued structures. The condition unifies the two main approaches for designing a polynomial-time approximation scheme. One is Baker's layering technique, which applies to sparse graphs such as planar or excluded-minor graphs. The other is based on Szemer\'edi's regularity lemma and applies to dense graphs. We extend the applicability of both techniques to new classes of Max-CSPs. On the other hand, we prove that the condition cannot be used to find solutions (as opposed to approximating the optimal…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Constraint Satisfaction and Optimization
