SAT Backdoors: Depth Beats Size

Dreier, J., Ordyniak, S. orcid.org/0000-0003-1935-651X and Szeider, S. (Cover date: June 2024) SAT Backdoors: Depth Beats Size. Journal of Computer and System Sciences, 142. 103520. ISSN 0022-0000

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: SAT; Satisfiability; Backdoor; Elimination distance; Parameterized algorithms
Dates:
  • Accepted: 15 January 2024
  • Published (online): 19 January 2024
  • Published: 31 January 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/V00252X/1
Depositing User: Symplectic Publications
Date Deposited: 19 Jan 2024 13:44
Last Modified: 02 Feb 2024 16:20
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.jcss.2024.103520

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