DPLL(T)

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In computer science, DPLL(T) is a framework for determining the satisfiability of SMT problems. The algorithm extends the original SAT-solving DPLL algorithm with the ability to reason about an arbitrary theory T.[1][2][3] At a high level, the algorithm works by transforming an SMT problem into a SAT formula where atoms are replaced with Boolean variables. The algorithm repeatedly finds a satisfying valuation for the SAT problem, consults a theory solver to check consistency under the domain-specific theory, and then (if a contradiction is found) refines the SAT formula with this information.[4]

Many modern SMT solvers, such as Microsoft's Z3 Theorem Prover, use DPLL(T) to power their core solving capabilities.[5][6]

References[]

  1. ^ Ganzinger, Harald; Hagen, George; Nieuwenhuis, Robert; Oliveras, Albert; Tinelli, Cesare (2004). Alur, Rajeev; Peled, Doron A. (eds.). "DPLL(T): Fast Decision Procedures". Computer Aided Verification. Lecture Notes in Computer Science. Springer Berlin Heidelberg. 3114: 175–188. doi:10.1007/978-3-540-27813-9_14. ISBN 9783540278139.
  2. ^ Nieuwenhuis, Robert; Oliveras, Albert; Tinelli, Cesare (2006). "Solving SAT and SAT Modulo Theories: From an Abstract Davis–Putnam–Logemann–Loveland Procedure to DPLL(T)". J. ACM. 53 (6): 937–977. doi:10.1145/1217856.1217859. ISSN 0004-5411.
  3. ^ Nieuwenhuis, Robert; Oliveras, Albert (2005). Etessami, Kousha; Rajamani, Sriram K. (eds.). "DPLL(T) with Exhaustive Theory Propagation and Its Application to Difference Logic". Computer Aided Verification. Lecture Notes in Computer Science. Springer Berlin Heidelberg. 3576: 321–334. doi:10.1007/11513988_33. ISBN 9783540316862.
  4. ^ Reynolds, Andrew (2015). "Satisfiability Modulo Theories and DPLL(T)" (PDF). The University of Iowa. Retrieved 2019-04-08.
  5. ^ de Moura, Leonardo; Bjørner, Nikolaj (2008). Ramakrishnan, C. R.; Rehof, Jakob (eds.). "Z3: An Efficient SMT Solver". Tools and Algorithms for the Construction and Analysis of Systems. Lecture Notes in Computer Science. Springer Berlin Heidelberg. 4963: 337–340. doi:10.1007/978-3-540-78800-3_24. ISBN 9783540788003.
  6. ^ Bruttomesso, Roberto; Cimatti, Alessandro; Franzén, Anders; Griggio, Alberto; Sebastiani, Roberto (2008). Gupta, Aarti; Malik, Sharad (eds.). "The MathSAT 4 SMT Solver". Computer Aided Verification. Lecture Notes in Computer Science. Springer Berlin Heidelberg. 5123: 299–303. doi:10.1007/978-3-540-70545-1_28. ISBN 9783540705451.
P ≟ NP 

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