On the hardness of losing weight

Author:

Krokhin Andrei1,Marx Dániel2

Affiliation:

1. Durham University, UK

2. Budapest University of Technology and Economics, Hungary

Abstract

We study the complexity of local search for the Boolean constraint satisfaction problem (CSP), in the following form: given a CSP instance, that is, a collection of constraints, and a solution to it, the question is whether there is a better (lighter, i.e., having strictly less Hamming weight) solution within a given distance from the initial solution. We classify the complexity, both classical and parameterized, of such problems by a Schaefer-style dichotomy result, that is, with a restricted set of allowed types of constraints. Our results show that there is a considerable amount of such problems that are NP-hard, but fixed-parameter tractable when parameterized by the distance.

Funder

European Research Council

Engineering and Physical Sciences Research Council

Publisher

Association for Computing Machinery (ACM)

Subject

Mathematics (miscellaneous)

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sparsification of SAT and CSP Problems via Tractable Extensions;ACM Transactions on Computation Theory;2020-05-14

2. On the complexity of restoring corrupted colorings;Journal of Combinatorial Optimization;2018-08-30

3. Kernelization of Constraint Satisfaction Problems: A Study Through Universal Algebra;Lecture Notes in Computer Science;2017

4. Searching for better fill-in;Journal of Computer and System Sciences;2014-11

5. On the parameterized complexity of consensus clustering;Theoretical Computer Science;2014-07

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