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BIG Backbones

  • Nils Froleyks
  • , Zhengqi Yu
  • , Armin Biere

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

The backbone of a satisfiable formula is the set ofliterals that hold true in every model. In this paper we introduceSingle Unit Resolution Backbone (SURB) which names both apolynomial-time algorithm for backbone extraction and a class ofpropositional formulas on which it is complete. We show that thisclass is a superset of the polynomial-time solvable SLUR formulas.The presented algorithm meets a lower bound on time complexity underthe strong exponential-time hypothesis. As a second contribution, wepresent a version that operates on the binary implication graph(BIG) and implement it as a preprocessor in the recently introducedbackbone extractor CadiBack. Experiments on a large number of SATcompetition benchmarks show that our implementation results infaster BIG backbone extraction by an order of magnitude.Additionally, incorporating it as a preprocessor enables CadiBack toidentify up to four times as many backbone literals early on.
OriginalspracheEnglisch
TitelProceedings of the 23rd Conference on Formal Methods inComputer-Aided Design FMCAD 2023
Herausgeber*innenAlexander Nadel, Kristin Yvonne Rozier, Warren A. Hunt, Georg Weissenbacher
VerlagTU Wien Academic Press
Seiten162-167
Seitenumfang6
ISBN (elektronisch)9783854480600
ISBN (Print)978-3-85448-060-0
DOIs
PublikationsstatusVeröffentlicht - Okt. 2023

Publikationsreihe

NameConference Series: Formal Methods in Computer-A on Formal Methods inComputer-Aided Design FMCAD 2023

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