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CPAIOR
2006
Springer
15 years 3 months ago
The Power of Semidefinite Programming Relaxations for MAX-SAT
Recently, Linear Programming (LP)-based relaxations have been shown promising in boosting the performance of exact MAX-SAT solvers. We compare Semidefinite Programming (SDP) based ...
Carla P. Gomes, Willem Jan van Hoeve, Lucian Leahu
CP
2009
Springer
14 years 9 months ago
Minimizing the Maximum Number of Open Stacks by Customer Search
We describe a new exact solver for the minimization of open stacks problem (MOSP). By combining nogood recording with a branch and bound strategy based on choosing which customer s...
Geoffrey Chu, Peter J. Stuckey
140
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CPAIOR
2010
Springer
14 years 9 months ago
Lazy Clause Generation: Combining the Power of SAT and CP (and MIP?) Solving
Finite domain propagation solving, the basis of constraint programming (CP) solvers, allows building very high-level models of problems, and using highly specific inference encapsu...
Peter J. Stuckey
DATE
2004
IEEE
175views Hardware» more  DATE 2004»
15 years 3 months ago
Breaking Instance-Independent Symmetries in Exact Graph Coloring
Code optimization and high level synthesis can be posed as constraint satisfaction and optimization problems, such as graph coloring used in register allocation. Graph coloring is...
Arathi Ramani, Fadi A. Aloul, Igor L. Markov, Kare...
ICML
2009
IEEE
16 years 13 days ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi