'Cnf formula' presentation slideshows

Fast Propositional Algorithms for Planning

Fast Propositional Algorithms for Planning. Fast stochastic algorithms for propositional satisfiability: GSAT, WSAT (WalkSAT) Compile a planning problem in to a satisfiability problem (example of a constraint satisfaction problem -- CSP), and use a fast algorithm for satisfiability.

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Hypothetical Reasoning in Propositional Satisfiability

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ECI 2007: Specification and Verification of Object-Oriented Programs

ECI 2007: Specification and Verification of Object-Oriented Programs. Lecture 4. Proving verification conditions. What is the decision procedure for proving validity of VC(f) ? Depends on the logic in which VC(f) is expressed. VC(f) ? pre ? VC(S, post). Verification condition logic.

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GRASP SAT solver

GRASP SAT solver. J. Marques-Silva and K. Sakallah. Presented by Constantinos Bartzis Slides borrowed from Pankaj Chauhan. What is SAT?. Given a propositional formula in CNF, find an assignment to boolean variables that makes the formula true E.g. ? 1 = (x 2 ? x 3 )

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INHERENT LIMITATIONS OF COMPUTER PROGRAMS

CSci 4011. INHERENT LIMITATIONS OF COMPUTER PROGRAMS. QUIZ 5. The language L ? TIME( t(n) ) if:. L can be decided by a TM in time O(t(n)). The language L ? NP if:. L can be decided by a NTM in time O( n c ). L has a polynomial time verifier. 3SAT is the language:.

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Using Problem Structure for Efficient Clause Learning

Using Problem Structure for Efficient Clause Learning. Ashish Sabharwal , Paul Beame, Henry Kautz University of Washington, Seattle April 23, 2003. The SAT Approach. CNF encoding f. SAT solver. Input p 2 D. p : Instance D : Domain graph problem,

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Automated Theorem Proving

Automated Theorem Proving. Lecture 2 Propositional Satisfiability. Decision procedures. Boolean programs Propositional satisfiability Arithmetic programs Propositional satisfiability modulo theory of linear arithmetic Memory programs

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CSE 417: Algorithms and Computational Complexity

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Bayesian reasoning using MAX-SAT and model-counting

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Discrete Structures CS 280

Discrete Structures CS 280. Example application of probability: MAX 3-SAT. MAX 3-SAT. Consider a propositional logical formula on N Boolean variables in conjunctive normal form (CNF), i.e., a conjunction (logical AND) of disjunctions (logical OR). Example:

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