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COCO
1998
Springer
86views Algorithms» more  COCO 1998»
13 years 11 months ago
The Satisfiability Problem for Probabilistic Ordered Branching Programs
We show that the satisfiability problem for bounded-error probabilistic ordered branching programs is NP-complete. If the error is very small, however (more precisely, if the erro...
Manindra Agrawal, Thomas Thierauf
ENTCS
2006
134views more  ENTCS 2006»
13 years 7 months ago
Partial Order Reduction for Probabilistic Branching Time
In the past, partial order reduction has been used successfully to combat the state explosion problem in the context of model checking for non-probabilistic systems. For both line...
Christel Baier, Pedro R. D'Argenio, Marcus Grö...
ECAI
2008
Springer
13 years 8 months ago
A new Approach for Solving Satisfiability Problems with Qualitative Preferences
The problem of expressing and solving satisfiability problems (SAT) with qualitative preferences is central in many areas of Computer Science and Artificial Intelligence. In previo...
Emanuele Di Rosa, Enrico Giunchiglia, Marco Marate...
AI
2005
Springer
13 years 6 months ago
MaxSolver: An efficient exact algorithm for (weighted) maximum satisfiability
Maximum Boolean satisfiability (max-SAT) is the optimization counterpart of Boolean satisfiability (SAT), in which a variable assignment is sought to satisfy the maximum number of...
Zhao Xing, Weixiong Zhang
MP
2007
142views more  MP 2007»
13 years 6 months ago
Active-constraint variable ordering for faster feasibility of mixed integer linear programs
The selection of the branching variable can greatly affect the speed of the branch and bound solution of a mixed-integer or integer linear program. Traditional approaches to branc...
Jagat Patel, John W. Chinneck