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» Extending SAT Solvers to Cryptographic Problems
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AI
2010
Springer
13 years 5 months ago
Extended clause learning
The past decade has seen clause learning as the most successful algorithm for SAT instances arising from real-world applications. This practical success is accompanied by theoreti...
Jinbo Huang
SAT
2004
Springer
89views Hardware» more  SAT 2004»
13 years 10 months ago
Using Rewarding Mechanisms for Improving Branching Heuristics
The variable branching heuristics used in the most recent and most effective SAT solvers, including zChaff and BerkMin, can be viewed as consisting of a simple mechanism for rewa...
Elsa Carvalho, João P. Marques Silva
ICCD
2000
IEEE
120views Hardware» more  ICCD 2000»
13 years 9 months ago
Equivalence Checking Combining a Structural SAT-Solver, BDDs, and Simulation
This paper presents a verification technique for functional comparison of large combinational circuits using a novel combination of known approaches. The idea is based on a tight...
Viresh Paruthi, Andreas Kuehlmann
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 5 months ago
Symmetry Breaking for Maximum Satisfiability
Symmetries are intrinsic to many combinatorial problems including Boolean Satisfiability (SAT) and Constraint Programming (CP). In SAT, the identification of symmetry breaking pred...
João Marques-Silva, Inês Lynce, Vasco...
SAT
2010
Springer
136views Hardware» more  SAT 2010»
13 years 8 months ago
A Non-prenex, Non-clausal QBF Solver with Game-State Learning
Abstract. We describe a DPLL-based solver for the problem of quantified boolean formulas (QBF) in non-prenex, non-CNF form. We make two contributions. First, we reformulate clause...
William Klieber, Samir Sapra, Sicun Gao, Edmund M....