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» The directional EDA for global optimization
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SIAMSC
2008
147views more  SIAMSC 2008»
13 years 8 months ago
Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs
We present a two-phase algorithm for solving large-scale quadratic programs (QPs). In the first phase, gradient-projection iterations approximately minimize an augmented Lagrangian...
Michael P. Friedlander, Sven Leyffer
CGF
2006
177views more  CGF 2006»
13 years 8 months ago
Direct (Re)Meshing for Efficient Surface Processing
We propose a novel surface remeshing algorithm. While many remeshing algorithms are based on global parametrization or local mesh optimization, our algorithm is closely related to...
John M. Schreiner, Carlos Eduardo Scheidegger, Sha...
DAC
1994
ACM
14 years 18 days ago
Stochastic Optimization Approach to Transistor Sizing for CMOS VLSI Circuits
A stochastic global optimization approach is presented for transistor sizing in CMOS VLSI circuits. This is a direct search strategy for the best design among feasible ones, with ...
Sharad Mehrotra, Paul D. Franzon, Wentai Liu
CEC
2011
IEEE
12 years 8 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
IJCV
2011
180views more  IJCV 2011»
13 years 3 months ago
Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach
This paper is devoted to the optimization problem of continuous multipartitioning, or multi-labeling, which is based on a convex relaxation of the continuous Potts model. In contr...
Egil Bae, Jing Yuan, Xue-Cheng Tai