Convex analysis and global optimization /

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Bibliographic Details
Author / Creator:Tuy, Hoang.
Edition:Second edition.
Imprint:Switzerland : Springer, 2016.
Description:1 online resource
Language:English
Series:Springer optimization and its applications ; volume 110
Springer optimization and its applications ; v. 110.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11267742
Hidden Bibliographic Details
ISBN:9783319314846
331931484X
9783319314822
3319314823
Notes:Includes bibliographical references and index.
Print version record.
Summary:This book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields of engineering. The second edition has been brought up to date and continues to develop a coherent and rigorous theory of deterministic global optimization, highlighting the essential role of convex analysis. The text has been revised and expanded to meet the needs of research, education, and applications for many years to come. Updates for this new edition include: · Discussion of modern approaches to minimax, fixed point, and equilibrium theorems, and to nonconvex optimization; · Increased focus on dealing more efficiently with ill-posed problems of global optimization, particularly those with hard constraints;

Other form:Print version: Tuy, Hoang. Convex analysis and global optimization. Second edition 2016. [Place of publication not identified] : Springer, 2016 3319314823

MARC

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505 0 |a 1. Convex Sets -- 2. Convex Functions -- 3. Fixed Point and Equilibrium -- 4. DC Functions and DC Sets -- 5. Motivation and Overview -- 6. General Methods -- 7. DC Optimization Problems -- 8. Special Methods -- 9. Parametric Decomposition -- 10. Nonconvex Quadratic Programming -- 11. Monotonic Optimization -- 12. Polynomial Optimization -- 13. Optimization Under Equilibrium Constraints -- References -- Index. 
520 |a This book presents state-of-the-art results and methodologies in modern global optimization, and has been a staple reference for researchers, engineers, advanced students (also in applied mathematics), and practitioners in various fields of engineering. The second edition has been brought up to date and continues to develop a coherent and rigorous theory of deterministic global optimization, highlighting the essential role of convex analysis. The text has been revised and expanded to meet the needs of research, education, and applications for many years to come. Updates for this new edition include: · Discussion of modern approaches to minimax, fixed point, and equilibrium theorems, and to nonconvex optimization; · Increased focus on dealing more efficiently with ill-posed problems of global optimization, particularly those with hard constraints; <p · Important discussions of decomposition methods for specially structured problems; · A complete revision of the chapter on nonconvex quadratic programming, in order to encompass the advances made in quadratic optimization since publication of the first edition. · Additionally, this new edition contains entirely new chapters devoted to monotonic optimization, polynomial optimization and optimization under equilibrium constraints, including bilevel programming, multiobjective programming, and optimization with variational inequality constraint. From the reviews of the first edition: The book gives a good review of the topic. ... The text is carefully constructed and well written, the exposition is clear. It leaves a remarkable impression of the concepts, tools and techniques in global optimization. It might also be used as a basis and guideline for lectures on this subject. Students as well as professionals will profitably read and use it.--Mathematical Methods of Operations Research, 49:3 (1999). 
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