Automated theorem proving | Constraint programming | SAT solvers

DPLL algorithm

In logic and computer science, the Davis–Putnam–Logemann–Loveland (DPLL) algorithm is a complete, backtracking-based search algorithm for deciding the satisfiability of propositional logic formulae in conjunctive normal form, i.e. for solving the CNF-SAT problem. It was introduced in 1961 by Martin Davis, George Logemann and Donald W. Loveland and is a refinement of the earlier Davis–Putnam algorithm, which is a resolution-based procedure developed by Davis and Hilary Putnam in 1960. Especially in older publications, the Davis–Logemann–Loveland algorithm is often referred to as the "Davis–Putnam method" or the "DP algorithm". Other common names that maintain the distinction are DLL and DPLL. (Wikipedia).

DPLL algorithm
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Related pages

Conjunctive normal form | Resolution (logic) | GRASP (SAT solver) | Truth value | Satisfiability modulo theories | Binary decision diagram | Herbrandization | Implication graph | Completeness (logic) | Automated theorem proving | DPLL(T) | Backjumping | Proof complexity | Unit propagation | Search algorithm | Backtracking | Boolean satisfiability problem | Davis–Putnam algorithm | Mathematical theory | Model checking | Propositional variable | Communications of the ACM | SAT solver | Hilary Putnam | Computational complexity theory | First-order logic | Binary tree