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» Formula Caching in DPLL
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SAT
2005
Springer
145views Hardware» more  SAT 2005»
14 years 28 days ago
A New Approach to Model Counting
We introduce ApproxCount, an algorithm that approximates the number of satisfying assignments or models of a formula in propositional logic. Many AI tasks, such as calculating degr...
Wei Wei, Bart Selman
DAC
2006
ACM
14 years 8 months ago
Predicate learning and selective theory deduction for a difference logic solver
Design and verification of systems at the Register-Transfer (RT) or behavioral level require the ability to reason at higher levels of abstraction. Difference logic consists of an...
Chao Wang, Aarti Gupta, Malay K. Ganai
DAM
1999
100views more  DAM 1999»
13 years 7 months ago
Complexity Analysis of Propositional Resolution with Autarky Pruning
An algorithm called Modoc", which has been introduced elsewhere, enhances propositional model elimination with autarky pruning, and other features. The model elimination meth...
Allen Van Gelder
CORR
2011
Springer
143views Education» more  CORR 2011»
12 years 11 months ago
Towards Understanding and Harnessing the Potential of Clause Learning
Efficient implementations of DPLL with the addition of clause learning are the fastest complete Boolean satisfiability solvers and can handle many significant real-world problem...
Paul Beame, Henry A. Kautz, Ashish Sabharwal
SAT
2009
Springer
113views Hardware» more  SAT 2009»
14 years 2 months ago
Clause-Learning Algorithms with Many Restarts and Bounded-Width Resolution
Abstract. We offer a new understanding of some aspects of practical SAT-solvers that are based on DPLL with unit-clause propagation, clause-learning, and restarts. On the theoreti...
Albert Atserias, Johannes Klaus Fichte, Marc Thurl...