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JAR
2000
149views more  JAR 2000»
13 years 7 months ago
Guided Local Search for Solving SAT and Weighted MAX-SAT Problems
In this paper, we show how Guided Local Search (GLS) can be applied to the SAT problem and show how the resulting algorithm can be naturally extended to solve the weighted MAX-SAT ...
Patrick Mills, Edward P. K. Tsang
NN
2000
Springer
128views Neural Networks» more  NN 2000»
13 years 7 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang
SIAMJO
2002
115views more  SIAMJO 2002»
13 years 7 months ago
Superlinearly Convergent Algorithms for Solving Singular Equations and Smooth Reformulations of Complementarity Problems
We propose a new algorithm for solving smooth nonlinear equations in the case where their solutions can be singular. Compared to other techniques for computing singular solutions, ...
Alexey F. Izmailov, Mikhail V. Solodov
ICST
2010
IEEE
13 years 6 months ago
When BDDs Fail: Conformance Testing with Symbolic Execution and SMT Solving
—Model-based testing is a well known technique that allows one to validate the correctness of software with respect to its model. If a lot of data is involved, symbolic technique...
Elisabeth Jöbstl, Martin Weiglhofer, Bernhard...
IEEEHPCS
2010
13 years 6 months ago
Portfolio-based Parallel SAT solving
Abstract. In this paper, we explore the two well-known principles of diversification and intensification in portfolio-based parallel SAT solving. These dual concepts play an impo...
Lakhdar Sais