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A Simpler Exponential-Time Approximation Algorithm for MAX-k-SAT

  • Harry Buhrman
  • , Sevag Gharibian
  • , Zeph Landau
  • , François Le Gall
  • , Norbert Schuch
  • , Suguru Tamaki

Veröffentlichungen: Beitrag in BuchBeitrag in KonferenzbandPeer Reviewed

Abstract

We present an extremely simple polynomial-space exponential-time (1 − ε)-approximation algorithm for MAX-k-SAT that is (slightly) faster than the previous known polynomial-space (1−ε)-approximation algorithms by Hirsch (Discrete Applied Mathematics, 2003) and Escoffier, Paschos and Tourniaire (Theoretical Computer Science, 2014). Our algorithm repeatedly samples an assignment uniformly at random until finding an assignment that satisfies a large enough fraction of clauses. Surprisingly, we can show the efficiency of this simpler approach by proving that in any instance of MAX-k-SAT (or more generally any instance of MAXCSP), an exponential number of assignments satisfy a fraction of clauses close to the optimal value.
OriginalspracheEnglisch
TitelProceedings - 2026 SIAM Symposium on Simplicity in Algorithms, SOSA 2026
Herausgeber*innenSepehr Assadi, Eva Rotenberg
VerlagSociety for Industrial and Applied Mathematics Publications
Seiten247-253
Seitenumfang7
ISBN (elektronisch)978-1-61197-896-4
DOIs
PublikationsstatusVeröffentlicht - 2026
Veranstaltung9th SIAM Symposium on Simplicity in Algorithms, SOSA 2026 - Vancouver, Kanada
Dauer: 12 Jan. 202514 Jan. 2025

Publikationsreihe

ReiheSymposium on Simplicity in Algorithms Proceedings

Konferenz

Konferenz9th SIAM Symposium on Simplicity in Algorithms, SOSA 2026
Land/GebietKanada
OrtVancouver
Zeitraum12/01/2514/01/25

Fördermittel

Part of this work was done when visiting the Simons Institute for the Theory of Computing. SG is supported by DFG grants 563388236 and 450041824, BMFTR project PhoQuant (13N16103), and project PhoQC from the State of Northrhine Westphalia. ZL is supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Systems Accelerator, and by NSF Grant CCF 2311733. FLG is supported by JSPS KAKENHI grants JP20H05966, 24H00071 and MEXT Q-LEAP grant JPMXS0120319794. NS is supported by the Austrian Science Fund FWF (Grant DOIs 10.55776/COE1, 10.55776/P36305 and 10.55776/F71), the European Union – NextGenerationEU, and the European Union’s Horizon 2020 research and innovation programme through Grant No. 863476 (ERC-CoG SEQUAM). ST is supported by JSPS KAKENHI grants JP20H05961, JP20H05967, JP22K11909.

ÖFOS 2012

  • 102031 Theoretische Informatik
  • 101002 Analysis

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