A Mathematical View of Interior-Point Methods in Convex Optimization

A Mathematical View of Interior-Point Methods in Convex Optimization
Author: James Renegar
Publisher: SIAM
Total Pages: 122
Release: 2001-01-01
Genre: Mathematics
ISBN: 0898715024


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Takes the reader who knows little of interior-point methods to within sight of the research frontier.


A Mathematical View of Interior-Point Methods in Convex Optimization
Language: en
Pages: 122
Authors: James Renegar
Categories: Mathematics
Type: BOOK - Published: 2001-01-01 - Publisher: SIAM

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Takes the reader who knows little of interior-point methods to within sight of the research frontier.
Interior-point Polynomial Algorithms in Convex Programming
Language: en
Pages: 414
Authors: Yurii Nesterov
Categories: Mathematics
Type: BOOK - Published: 1994-01-01 - Publisher: SIAM

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Specialists working in the areas of optimization, mathematical programming, or control theory will find this book invaluable for studying interior-point methods
Interior Point Approach to Linear, Quadratic and Convex Programming
Language: en
Pages: 214
Authors: D. den Hertog
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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This book describes the rapidly developing field of interior point methods (IPMs). An extensive analysis is given of path-following methods for linear programmi
Lectures on Modern Convex Optimization
Language: en
Pages: 500
Authors: Aharon Ben-Tal
Categories: Technology & Engineering
Type: BOOK - Published: 2001-01-01 - Publisher: SIAM

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Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programm
Algorithms for Convex Optimization
Language: en
Pages: 314
Authors: Nisheeth K. Vishnoi
Categories: Computers
Type: BOOK - Published: 2021-10-07 - Publisher: Cambridge University Press

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In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For prob