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CP
2006
Springer
15 years 1 months ago
: A Bottom-Up Approach for Solving Quantified CSPs
Abstract. Thanks to its extended expressiveness, the quantified constraint satisfaction problem (QCSP) can be used to model problems that are difficult to express in the standard C...
Guillaume Verger, Christian Bessière
CPAIOR
2010
Springer
14 years 7 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
CP
2001
Springer
15 years 2 months ago
Solving Non-binary CSPs Using the Hidden Variable Encoding
Non-binary constraint satisfaction problems (CSPs) can be solved in two different ways. We can either translate the problem into an equivalent binary one and solve it using well-e...
Nikos Mamoulis, Kostas Stergiou
FOCS
1999
IEEE
15 years 2 months ago
A Probabilistic Algorithm for k-SAT and Constraint Satisfaction Problems
We present a simple probabilistic algorithm for solving kSAT, and more generally, for solving constraint satisfaction problems (CSP). The algorithm follows a simple localsearch pa...
Uwe Schöning
SARA
2007
Springer
15 years 3 months ago
Reformulating Constraint Satisfaction Problems to Improve Scalability
Constraint Programming is a powerful approach for modeling and solving many combinatorial problems, scalability, however, remains an issue in . Abstraction and reformulation techni...
Kenneth M. Bayer, Martin Michalowski, Berthe Y. Ch...