2010
DOI: 10.1007/978-3-642-14186-7_24
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Improved Local Search for Circuit Satisfiability

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Cited by 6 publications
(9 citation statements)
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“…Local search algorithms have borrowed techniques from CDCL. For example, unit propagation has been employed [6,8,2], and clause learning as also been used [1]. However, such solvers are usually limited to demonstrating satisfiability, and often cannot be used to reliably prove UNSAT.…”
Section: Supported By Natural Sciences and Engineering Research Councmentioning
confidence: 99%
“…Local search algorithms have borrowed techniques from CDCL. For example, unit propagation has been employed [6,8,2], and clause learning as also been used [1]. However, such solvers are usually limited to demonstrating satisfiability, and often cannot be used to reliably prove UNSAT.…”
Section: Supported By Natural Sciences and Engineering Research Councmentioning
confidence: 99%
“…CRSAT is an SLS-based SAT algorithm for Boolean circuits that operates directly on circuit structure -that is, without the conversion to CNF. The algorithm was first described in [5] and was subsequently analyzed theoretically and improved in [6]. In this section we provide a high-level overview of the algorithm, and refer the reader to [5,6] for additional details.…”
Section: Crsat: Justification-based Sls With Forward Propagationmentioning
confidence: 99%
“…It has been recognized that one possibility to push further the efficiency of SLS techniques is to develop search techniques that exploit the structure of constraint satisfaction problems. Indeed, various structure-exploiting SLS methods have been developed (among others) for generic constraint satisfaction problems (CSPs; for examples see [1,2,18,10]) and Boolean satisfiability (SAT; for examples see [16,20,21,17,19,14,13,22,4,5]).…”
Section: Introductionmentioning
confidence: 99%
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