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- Conflict_Driven_Clause_Learning abstract "In mathematics Conflict-Driven Clause Learning (CDCL) is an efficient algorithm for solving the Boolean Satisfiability (SAT). Given a Boolean formula, the SAT problem asks for an assignment of variables so that the entire formula evaluates to true. The internal workings of CDCL SAT solvers were inspired by DPLL solvers. Conflict Driven Clause Learning was proposed by: J. P. Marques-Silva and Karem A. Sakallah, in their paper “GRASP: A Search Algorithm for Propositional Satisfiability”. and R. J. Bayardo Jr. and R. C. Schrag, in their paper “Using CSP look-back techniques to solve real world SAT instances.”".
- Conflict_Driven_Clause_Learning wikiPageID "39158010".
- Conflict_Driven_Clause_Learning wikiPageRevisionID "606675871".
- Conflict_Driven_Clause_Learning subject Category:Satisfiability_problems.
- Conflict_Driven_Clause_Learning comment "In mathematics Conflict-Driven Clause Learning (CDCL) is an efficient algorithm for solving the Boolean Satisfiability (SAT). Given a Boolean formula, the SAT problem asks for an assignment of variables so that the entire formula evaluates to true. The internal workings of CDCL SAT solvers were inspired by DPLL solvers. Conflict Driven Clause Learning was proposed by: J. P. Marques-Silva and Karem A. Sakallah, in their paper “GRASP: A Search Algorithm for Propositional Satisfiability”. and R.".
- Conflict_Driven_Clause_Learning label "Conflict Driven Clause Learning".
- Conflict_Driven_Clause_Learning sameAs m.0t51hfr.
- Conflict_Driven_Clause_Learning sameAs Q17008878.
- Conflict_Driven_Clause_Learning sameAs Q17008878.
- Conflict_Driven_Clause_Learning wasDerivedFrom Conflict_Driven_Clause_Learning?oldid=606675871.
- Conflict_Driven_Clause_Learning isPrimaryTopicOf Conflict_Driven_Clause_Learning.