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CDC
2009
IEEE
149views Control Systems» more  CDC 2009»
13 years 9 months ago
Solving large-scale linear circuit problems via convex optimization
Abstract— A broad class of problems in circuits, electromagnetics, and optics can be expressed as finding some parameters of a linear system with a specific type. This paper is...
Javad Lavaei, Aydin Babakhani, Ali Hajimiri, John ...
SIAMIS
2011
12 years 11 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
AUTOMATICA
2004
128views more  AUTOMATICA 2004»
13 years 4 months ago
A convex optimization approach to the mode acceleration problem
The purpose of this note is to introduce an alternative procedure to the mode acceleration method when the underlying structure model includes damping. We will show that the probl...
S. O. Reza Moheimani, Dunant Halim
MP
2010
162views more  MP 2010»
13 years 3 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng
TCAD
1998
107views more  TCAD 1998»
13 years 4 months ago
Optimizing dominant time constant in RC circuits
— Conventional methods for optimal sizing of wires and transistors use linear resistor-capacitor (RC) circuit models and the Elmore delay as a measure of signal delay. If the RC ...
Lieven Vandenberghe, Stephen P. Boyd, Abbas A. El ...