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» On Using Cutting Planes in Pseudo-Boolean Optimization
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JSAT
2006
88views more  JSAT 2006»
13 years 4 months ago
On Using Cutting Planes in Pseudo-Boolean Optimization
Cutting planes are a well-known, widely used, and very effective technique for Integer Linear Programming (ILP). However, cutting plane techniques are seldom used in PseudoBoolean...
Vasco M. Manquinho, João P. Marques Silva
SAT
2005
Springer
138views Hardware» more  SAT 2005»
13 years 10 months ago
On Applying Cutting Planes in DLL-Based Algorithms for Pseudo-Boolean Optimization
The utilization of cutting planes is a key technique in Integer Linear Programming (ILP). However, cutting planes have seldom been applied in Pseudo-Boolean Optimization (PBO) algo...
Vasco M. Manquinho, João P. Marques Silva
DATE
2008
IEEE
142views Hardware» more  DATE 2008»
13 years 6 months ago
Algorithms for Maximum Satisfiability using Unsatisfiable Cores
Many decision and optimization problems in Electronic Design Automation (EDA) can be solved with Boolean Satisfiability (SAT). Moreover, well-known extensions of SAT also find app...
João Marques-Silva, Jordi Planes
ICCV
2009
IEEE
14 years 8 months ago
The Swap and Expansion Moves Revisited and Fused
Many solutions to computer vision and image processing problems involve the minimization of multi-label energy functions with up to K variables in each term. In the minimization pr...
Ido Leichter
SIAMJO
2010
130views more  SIAMJO 2010»
12 years 11 months ago
A Randomized Cutting Plane Method with Probabilistic Geometric Convergence
Abstract. We propose a randomized method for general convex optimization problems; namely, the minimization of a linear function over a convex body. The idea is to generate N rando...
Fabrizio Dabbene, P. S. Shcherbakov, Boris T. Poly...