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Conflict-driven clause learning

SAT solving algorithm

In computer science, conflict-driven clause learning (CDCL) is an algorithm for solving the Boolean satisfiability problem (SAT). Given a Boolean formula, the SAT problem asks for an assignment of variables so that the entire formula evaluates to true.

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Conflict-driven clause learning

SAT solving algorithm

Texto em inglês

In computer science, conflict-driven clause learning (CDCL) is an algorithm for solving the Boolean satisfiability problem (SAT). Given a Boolean formula, the SAT problem asks for an assignment of variables so that the entire formula evaluates to true.

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Texto em inglês Ainda não há artigo no seu idioma: trecho em inglês.

In computer science, conflict-driven clause learning (CDCL) is an algorithm for solving the Boolean satisfiability problem (SAT). Given a Boolean formula, the SAT problem asks for an assignment of variables so that the entire formula evaluates to true. Inspired by the DPLL algorithm, CDCL makes use of non-chronological backtracking (or backjumping), and adds new clauses to the clause database whenever a conflict occurs. Conflict-driven clause learning was proposed by Marques-Silva and Karem A. Sakallah (1996, 1999) and Bayardo and Schrag (1997).

Texto: Wikipédia em inglês, CC BY-SA 4.0. ·

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