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» On the Power of Clause-Learning SAT Solvers with Restarts
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CP
2009
Springer
14 years 5 months ago
On the Power of Clause-Learning SAT Solvers with Restarts
In this work, we improve on existing work that studied the relationship between the proof system of modern SAT solvers and general resolution. Previous contributions such as those ...
Knot Pipatsrisawat, Adnan Darwiche
SAT
2009
Springer
113views Hardware» more  SAT 2009»
13 years 11 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...
AAAI
2010
13 years 6 months ago
A Restriction of Extended Resolution for Clause Learning SAT Solvers
Modern complete SAT solvers almost uniformly implement variations of the clause learning framework introduced by Grasp and Chaff. The success of these solvers has been theoretical...
Gilles Audemard, George Katsirelos, Laurent Simon
IJCAI
2003
13 years 6 months ago
Understanding the Power of Clause Learning
Efficient implementations of DPLL with the addition of clause learning are the fastest complete satisfiability solvers and can handle many significant real-world problems, such as...
Paul Beame, Henry A. Kautz, Ashish Sabharwal
CP
2007
Springer
13 years 10 months ago
Limitations of Restricted Branching in Clause Learning
The techniques for making decisions, i.e., branching, play a central role in complete methods for solving structured CSP instances. In practice, there are cases when SAT solvers be...
Matti Järvisalo, Tommi A. Junttila