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CATS
2008
13 years 6 months ago
Modelling for Lazy Clause Generation
Lazy clause generation is a hybrid SAT and finite domain propagation solver that tries to combine the advantages of both: succinct modelling using finite domains and powerful nogo...
Olga Ohrimenko, Peter J. Stuckey
INTEGRATION
2008
89views more  INTEGRATION 2008»
13 years 5 months ago
Exact ESCT minimization for functions of up to six input variables
In this paper an efficient algorithm for the synthesis and exact minimization of ESCT(Exclusive or Sum of Complex Terms) expressions for Boolean functions of at most six variables...
Dimitrios Voudouris, Marinos Sampson, George K. Pa...
BIRTHDAY
2004
Springer
13 years 9 months ago
On Models for Quantified Boolean Formulas
A quantified Boolean formula is true, if for any existentially quantified variable there exists a Boolean function depending on the preceding universal variables, such that substi...
Hans Kleine Büning, Xishun Zhao
ICARCV
2008
IEEE
170views Robotics» more  ICARCV 2008»
13 years 11 months ago
Mixed state estimation for a linear Gaussian Markov model
— We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, a...
Argyris Zymnis, Stephen P. Boyd, Dimitry M. Gorine...
CPAIOR
2010
Springer
13 years 3 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