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Fine-Grained Time Complexity of Constraint Satisfaction Problems

Fine-Grained Time Complexity of Constraint Satisfaction Problems We study the constraint satisfaction problem (CSP) parameterized by a constraint language (CSP) and how the choice of affects its worst-case time complexity. Under the exponential-time hypothesis (ETH), we rule out the existence of subexponential algorithms for finite-domain NP-complete CSP problems. This extends to certain infinite-domain CSPs and structurally restricted problems. For CSPs with finite domain D and where all unary relations are available, we identify a relation SD such that the time complexity of the NP-complete problem CSP(SD) is a lower bound for all NP-complete CSPs of this kind. We also prove that the time complexity of CSP(SD) strictly decreases when D increases (unless the ETH is false) and provide stronger complexity results in the special case when D=3. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Computation Theory (TOCT) Association for Computing Machinery

Fine-Grained Time Complexity of Constraint Satisfaction Problems

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2021 ACM
ISSN
1942-3454
eISSN
1942-3462
DOI
10.1145/3434387
Publisher site
See Article on Publisher Site

Abstract

We study the constraint satisfaction problem (CSP) parameterized by a constraint language (CSP) and how the choice of affects its worst-case time complexity. Under the exponential-time hypothesis (ETH), we rule out the existence of subexponential algorithms for finite-domain NP-complete CSP problems. This extends to certain infinite-domain CSPs and structurally restricted problems. For CSPs with finite domain D and where all unary relations are available, we identify a relation SD such that the time complexity of the NP-complete problem CSP(SD) is a lower bound for all NP-complete CSPs of this kind. We also prove that the time complexity of CSP(SD) strictly decreases when D increases (unless the ETH is false) and provide stronger complexity results in the special case when D=3.

Journal

ACM Transactions on Computation Theory (TOCT)Association for Computing Machinery

Published: Jan 21, 2021

Keywords: Constraint satisfaction problems

References