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SARA
2009
Springer
15 years 9 months ago
Some Interval Approximation Techniques for MINLP
MINLP problems are hard constrained optimization problems, with nonlinear constraints and mixed discrete continuous variables. They can be solved using a Branch-and-Bound scheme c...
Nicolas Berger, Laurent Granvilliers
TVCG
2011
120views more  TVCG 2011»
14 years 10 months ago
Drawing and Labeling High-Quality Metro Maps by Mixed-Integer Programming
—Metro maps are schematic diagrams of public transport networks that serve as visual aids for route planning and navigation tasks. It is a challenging problem in network visualiz...
Martin Nöllenburg, Alexander Wolff
ISF
2008
119views more  ISF 2008»
15 years 2 months ago
A decision support system for locating VHF/UHF radio jammer systems on the terrain
In this study, a mathematical model is suggested concerning the location of VHF/UHF frequency radio jammer systems to the terrain parts to conduct single frequency or sequential fr...
Cevriye Gencer, Emel Kizilkaya Aydogan, Coskun Cel...
IPCO
2008
118views Optimization» more  IPCO 2008»
15 years 4 months ago
Constraint Orbital Branching
Orbital branching is a method for branching on variables in integer programming that reduces the likelihood of evaluating redundant, isomorphic nodes in the branch-and-bound proce...
James Ostrowski, Jeff Linderoth, Fabrizio Rossi, S...

Book
5396views
17 years 2 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li