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Duality for Nonconvex Approximation and Optimization Ivan Singer

Duality for Nonconvex Approximation and Optimization By Ivan Singer

Duality for Nonconvex Approximation and Optimization by Ivan Singer


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Summary

Most recently, many researchers have been studying more complicated classes of problems that still can be studied by means of convex analysis, so-called anticonvex and convex-anticonvex optimizaton problems.

Duality for Nonconvex Approximation and Optimization Summary

Duality for Nonconvex Approximation and Optimization by Ivan Singer

The theory of convex optimization has been constantly developing over the past 30 years. Most recently, many researchers have been studying more complicated classes of problems that still can be studied by means of convex analysis, so-called anticonvex and convex-anticonvex optimizaton problems. This manuscript contains an exhaustive presentation of the duality for these classes of problems and some of its generalization in the framework of abstract convexity. This manuscript will be of great interest for experts in this and related fields.

Duality for Nonconvex Approximation and Optimization Reviews

From the reviews:

Being the first monograph devoted to nonconvex duality, this book is going to become a fundamental source for researchers in the field. An important feature of the book is that it is also accessible to nonspecialists, since, in spite of dealing with a rather specialized topic, it is essentially self-contained. ... this monograph is a very useful addition to the existing literature on optimization and approximation and is undoubtedly going to constitute a major reference on nonconvex duality. (Juan-Enrique Martinez-Legaz, Mathematical Reviews, Issue 2006 k)

This monograph, being the first book of this kind in the literature, covers a wide range of optimization and approximation problems. It provides an excellent overview over the literature and, moreover, it contains a lot of new results and new proofs of known results. The results and the choice of the classes of problems are well motivated. ... The monograph is appropriate for graduate students and advanced readers. (Andreas Loehne, Mathematical Methods of Operations Research, Vol. 66, 2007)

In this monograph the author presents some approaches to duality in nonconvex approximation in normed linear spaces and to duality in nonconvex global optimization in locally convex spaces. ... It is my belief that the monograph under review will become a fundamental reference on nonconvex duality for researchers in the field, and, although the topics are very specialized, the monograph is also accessible to nonspecialists ... . is strongly recommended to researchers, postgraduate and graduate students interested in nonconvex duality theory. (Fabian Flores Bazan, Zentralblatt MATH, Vol. 1119 (21), 2007)

This is a nice addition to the literature on nonconvex optimization in locally convex spaces, devoted primarily to nonconvex duality. Most of the material appears for the first time in book form and examples are abundant. ... The style is friendly. I strongly recommend this book to graduate students studying nonconvex optimization theory. (Constantin P. Niculescu, Revue Roumaine de Mathematique Pures et Appliquees, Vol. LII (5), 2007)

Table of Contents

Preliminaries.- Worst Approximation.- Duality for Quasi-convex Supremization.- Optimal Solutions for Quasi-convex Maximization.- Reverse Convex Best Approximation.- Unperturbational Duality for Reverse Convex Infimization.- Optimal Solutions for Reverse Convex Infimization.- Duality for D.C. Optimization Problems.- Duality for Optimization in the Framework of Abstract Convexity.- Notes and Remarks.

Additional information

NLS9781441921031
9781441921031
1441921036
Duality for Nonconvex Approximation and Optimization by Ivan Singer
New
Paperback
Springer-Verlag New York Inc.
2010-11-23
356
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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