Towards a better understanding of the functionality of a conflict-driven SAT solver

Nachum Dershowitz*, Ziyad Hanna, Alexander Nadel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We show that modern conflict-driven SAT solvers implicitly build and prune a decision tree whose nodes are associated with flipped variables. Practical usefulness of conflict-driven learning schemes, like 1UIP or AllUIP, depends on their ability to guide the solver towards refutations associated with compact decision trees. We propose an enhancement of 1UIP that is empirically helpful for real-world industrial benchmarks.

Original languageEnglish
Title of host publicationTheory and Applications of Satisfiability Testing - SAT 2007 - 10th International Conference, Proceedings
PublisherSpringer Verlag
Pages287-293
Number of pages7
ISBN (Print)9783540727873
DOIs
StatePublished - 2007
Event10th International Conference on Theory and Applications of Satisfiability Testing, SAT 2007 - Lisbon, Portugal
Duration: 28 May 200731 May 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4501 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Theory and Applications of Satisfiability Testing, SAT 2007
Country/TerritoryPortugal
CityLisbon
Period28/05/0731/05/07

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