Fixed-parameter Approximability of Boolean MinCSPs
\'Edouard Bonnet, L\'aszl\'o Egri, Bingkai Lin, D\'aniel Marx

TL;DR
This paper establishes a dichotomy in fixed-parameter approximability for MinCSP problems, showing that each problem either admits a constant-factor FP-approximation or is W[1]-hard, and resolves the complexity of the Even Set problem.
Contribution
It provides a complete classification of the fixed-parameter approximability of MinCSPs, including the first resolution of the complexity of the Even Set problem.
Findings
Dichotomy: either constant-factor FP-approximation exists or problem is W[1]-hard
Proves W[1]-hardness of approximating Nearest Codeword within any constant factor
Settles the open question on the parameterized complexity of Even Set
Abstract
The minimum unsatisfiability version of a constraint satisfaction problem (MinCSP) asks for an assignment where the number of unsatisfied constraints is minimum possible, or equivalently, asks for a minimum-size set of constraints whose deletion makes the instance satisfiable. For a finite set of constraints, we denote by MinCSP() the restriction of the problem where each constraint is from . The polynomial-time solvability and the polynomial-time approximability of MinCSP() were fully characterized by Khanna et al. [Siam J. Comput. '00]. Here we study the fixed-parameter (FP-) approximability of the problem: given an instance and an integer , one has to find a solution of size at most in time if a solution of size at most exists. We especially focus on the case of constant-factor FP-approximability. We show the following…
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