Convex Analysis and Nonlinear Optimization

This book PDF is perfect for those who love Mathematics genre, written by Jonathan M. Borwein and published by Springer Science & Business Media which was released on 29 June 2013 with total hardcover pages 281. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Convex Analysis and Nonlinear Optimization books below.

Convex Analysis and Nonlinear Optimization
Convex Analysis and Nonlinear Optimization
Author : Jonathan M. Borwein
File Size : 49,5 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 29 June 2013
ISBN : 9781475798593
Pages : 281 pages
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Convex Analysis and Nonlinear Optimization by Jonathan M. Borwein Book PDF Summary

This book provides a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. It can serve as a teaching text, at roughly the level of first year graduate students, since the main body of the text is self-contained, with each section rounded off by an often extensive set of optional exercises. The new edition adds material on semismooth optimization, as well as several new proofs that will make this book even more self-contained.

Convex Analysis and Nonlinear Optimization

Convex Analysis and Nonlinear Optimization by Jonathan M. Borwein,Adrian S. Lewis

This book provides a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. It can serve as a teaching text, at roughly the level of first year graduate students, since the main body of the text is self-contained, with each section rounded off by

Get Book
Convex Analysis and Nonlinear Optimization

Convex Analysis and Nonlinear Optimization by Jonathan M. Borwein,Adrian S. Lewis

Download or read online Convex Analysis and Nonlinear Optimization written by Jonathan M. Borwein,Adrian S. Lewis, published by Unknown which was released on 2014-01-15. Get Convex Analysis and Nonlinear Optimization Books now! Available in PDF, ePub and Kindle.

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Convex Analysis and Optimization

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A uniquely pedagogical, insightful, and rigorous treatment of the analytical/geometrical foundations of optimization. The book provides a comprehensive development of convexity theory, and its rich applications in optimization, including duality, minimax/saddle point theory, Lagrange multipliers, and Lagrangian relaxation/nondifferentiable optimization. It is an excellent supplement to several of

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Convex Optimization

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Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of

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Convex Analysis and Nonlinear Optimization

Convex Analysis and Nonlinear Optimization by Jonathan Borwein,Adrian S. Lewis

Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated. This book aims to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. Each section concludes with an often extensive set

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Current1y there is a vast amount of literature on nonlinear programming in finite dimensions. The pub1ications deal with convex analysis and severa1 aspects of optimization. On the conditions of optima1ity they deal mainly with generali- tions of known results to more general problems and also with less

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An insightful, concise, and rigorous treatment of the basic theory of convex sets and functions in finite dimensions, and the analytical/geometrical foundations of convex optimization and duality theory. Convexity theory is first developed in a simple accessible manner, using easily visualized proofs. Then the focus shifts to a transparent

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