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Convex Optimization

by Stephen Boyd, Lieven Vandenberghe , 2004
"... ..."
Abstract - Cited by 7468 (151 self) - Add to MetaCart
Abstract not found

Robust convex optimization

by A. Ben-tal, A. Nemirovski - Mathematics of Operations Research , 1998
"... We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given uncertainty set U, yet the constraints must hold for all possible values of the data from U. The ensuing optimization problem is called robust optimization. In this paper we la ..."
Abstract - Cited by 416 (21 self) - Add to MetaCart
We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given uncertainty set U, yet the constraints must hold for all possible values of the data from U. The ensuing optimization problem is called robust optimization. In this paper we

Exact Matrix Completion via Convex Optimization

by Emmanuel J. Candès, Benjamin Recht , 2008
"... We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose that we observe m entries selected uniformly at random from a matrix M. Can we complete the matrix and recover the entries that we have not seen? We show that one can perfe ..."
Abstract - Cited by 873 (26 self) - Add to MetaCart
by solving a simple convex optimization program. This program finds the matrix with minimum nuclear norm that fits the data. The condition above assumes that the rank is not too large. However, if one replaces the 1.2 exponent with 1.25, then the result holds for all values of the rank. Similar results hold

and Convex Optimization

by Varun Aggarwal, Varun Aggarwal , 2007
"... In this thesis, we analyze state-of-art techniques for analog circuit sizing and compare them on various metrics. We ascertain that a methodology which improves the accuracy of sizing without increasing the run time or the designer effort is a contribution. We argue that the accuracy of geometric pr ..."
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accurate posynomial models for MOS transistor parameters, which is the first step of the decomposition. The new algorithm can generate posynomial models with variable number of terms and real-valued exponents. The algorithm is a hybrid of a genetic algorithm and a convex optimization technique. We study

Convex Optimization Algorithms Contents

by Dimitri P. Bertsekas , 2009
"... This chapter aims to supplement the book Convex Optimization Theory, Athena Scientific, 2009 with material on convex optimization algorithms. ..."
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This chapter aims to supplement the book Convex Optimization Theory, Athena Scientific, 2009 with material on convex optimization algorithms.

Convex Optimization

by Emilie March, Ise Jean-françois, Remacle Christophe Geuzaine , 2004
"... be inserted by the editor) ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
be inserted by the editor)

Convex Optimization in . . .

by n.n. , 2009
"... ..."
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Lectures on modern convex optimization

by Arkadi Nemirovski
"... Mathematical Programming deals with optimization programs of the form and includes the following general areas: minimize f(x) subject to gi(x) ≤ 0, i = 1,..., m, [x ⊂ R n] 1. Modelling: methodologies for posing various applied problems as optimization programs; 2. Optimization Theory, focusing on e ..."
Abstract - Cited by 146 (6 self) - Add to MetaCart
Mathematical Programming deals with optimization programs of the form and includes the following general areas: minimize f(x) subject to gi(x) ≤ 0, i = 1,..., m, [x ⊂ R n] 1. Modelling: methodologies for posing various applied problems as optimization programs; 2. Optimization Theory, focusing

An introduction to convex optimization for communications and signal processing

by Zhi-quan Luo, Wei Yu - IEEE J. SEL. AREAS COMMUN , 2006
"... Convex optimization methods are widely used in the ..."
Abstract - Cited by 56 (2 self) - Add to MetaCart
Convex optimization methods are widely used in the

A tutorial on convex optimization

by Haitham Hindi - In Proceedings of the 23th American Control Conference
"... Abstract — In recent years, convex optimization has become a computational tool of central importance in engineering, thanks to it’s ability to solve very large, practical engineering problems reliably and efficiently. The goal of this tutorial is to give an overview of the basic concepts of convex ..."
Abstract - Cited by 12 (1 self) - Add to MetaCart
Abstract — In recent years, convex optimization has become a computational tool of central importance in engineering, thanks to it’s ability to solve very large, practical engineering problems reliably and efficiently. The goal of this tutorial is to give an overview of the basic concepts of convex
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