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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

Publications: Contribution to bookContribution to proceedingsPeer 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.
Original languageEnglish
Title of host publicationProceedings - 2026 SIAM Symposium on Simplicity in Algorithms, SOSA 2026
EditorsSepehr Assadi, Eva Rotenberg
PublisherSociety for Industrial and Applied Mathematics Publications
Pages247-253
Number of pages7
ISBN (Electronic)978-1-61197-896-4
DOIs
Publication statusPublished - 2026
Event9th SIAM Symposium on Simplicity in Algorithms, SOSA 2026 - Vancouver, Canada
Duration: 12 Jan 202514 Jan 2025

Publication series

SeriesSymposium on Simplicity in Algorithms Proceedings

Conference

Conference9th SIAM Symposium on Simplicity in Algorithms, SOSA 2026
Country/TerritoryCanada
CityVancouver
Period12/01/2514/01/25

Austrian Fields of Science 2012

  • 102031 Theoretical computer science
  • 101002 Analysis

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