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» Convex Programming Methods for Global Optimization
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CORR
2010
Springer
198views Education» more  CORR 2010»
13 years 4 months ago
Convex Graph Invariants
The structural properties of graphs are usually characterized in terms of invariants, which are functions of graphs that do not depend on the labeling of the nodes. In this paper ...
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. W...
MP
2011
13 years 2 months ago
A first-order interior-point method for linearly constrained smooth optimization
Abstract: We propose a first-order interior-point method for linearly constrained smooth optimization that unifies and extends first-order affine-scaling method and replicator d...
Paul Tseng, Immanuel M. Bomze, Werner Schachinger
CVPR
2010
IEEE
13 years 9 months ago
Simultaneous Searching of Globally Optimal Interacting Surfaces with Shape Priors
Multiple surface searching with only image intensity information is a difficult job in the presence of high noise and weak edges. We present in this paper a novel method for global...
Qi Song, Xiaodong Wu, Yunlong Liu, Mona Garvin, Mi...
DATE
2010
IEEE
129views Hardware» more  DATE 2010»
14 years 18 days ago
A power optimization method for CMOS Op-Amps using sub-space based geometric programming
—— A new sub-space max-monomial modeling scheme for CMOS transistors in sub-micron technologies is proposed to improve the modeling accuracy. Major electrical parameters of CMOS...
Wei Gao, Richard Hornsey
MOR
2006
81views more  MOR 2006»
13 years 7 months ago
Simulated Annealing for Convex Optimization
We apply the method known as simulated annealing to the following problem in convex optimization: minimize a linear function over an arbitrary convex set, where the convex set is ...
Adam Tauman Kalai, Santosh Vempala