Using CSP Look-Back Techniques to Solve Exceptionally Hard SAT Instances

  title={Using CSP Look-Back Techniques to Solve Exceptionally Hard SAT Instances},
  author={Roberto J. Bayardo and Robert C. Schrag},
While CNF propositional satisfiability (SAT) is a sub-class of the more general constraint satisfaction problem (CSP), conventional wisdom has it that some well-known CSP look-back techniques — including backjumping and learning — are of little use for SAT. We enhance the Tableau SAT algorithm of Crawford and Auton with look-back techniques and evaluate its performance on problems specifically designed to challenge it. The Random 3-SAT problem space has commonly been used to benchmark SAT… 

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