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» Variable ranges in linear constraints
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ORL
2010
108views more  ORL 2010»
13 years 2 months ago
Easy distributions for combinatorial optimization problems with probabilistic constraints
We show how we can linearize probabilistic linear constraints with binary variables when all coefficients are distributed according to either N(
Bernard Fortz, Michael Poss
JAIR
2011
123views more  JAIR 2011»
13 years 2 months ago
The Complexity of Integer Bound Propagation
Bound propagation is an important Artificial Intelligence technique used in Constraint Programming tools to deal with numerical constraints. It is typically embedded within a sea...
Lucas Bordeaux, George Katsirelos, Nina Narodytska...
JMLR
2006
125views more  JMLR 2006»
13 years 7 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss
MICAI
2004
Springer
14 years 21 days ago
A Preprocessing That Combines Heuristic and Surrogate Constraint Analysis to Fix Variables in TSP
A preprocessing procedure that uses a local guided search defined in terms of a neighborhood structure to get a feasible solution (UB) and the Osorio and Glover[18, 20] exploiting ...
María Auxilio Osorio Lama, David Pinto
SAS
2007
Springer
14 years 1 months ago
Program Analysis Using Symbolic Ranges
Interval analysis seeks static lower and upper bounds on the values of program variables. These bounds are useful, especially for inferring invariants to prove buffer overflow ch...
Sriram Sankaranarayanan, Franjo Ivancic, Aarti Gup...