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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
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
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
AAAI
2008
13 years 7 months ago
Clause Learning Can Effectively P-Simulate General Propositional Resolution
Currently, the most effective complete SAT solvers are based on the DPLL algorithm augmented by clause learning. These solvers can handle many real-world problems from application...
Philipp Hertel, Fahiem Bacchus, Toniann Pitassi, A...
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...