9781441921031 - Duality for Nonconvex Approximation and Optimization de Singer, Ivan (13 résultats)

Paperback. Etat : new. Paperback. The theory of convex optimization has been developing constantly over the past 30 years. Recently, 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" optimization problems. This monograph contains an exhaustive presentation of the duality theory for these classes of problems and their generalizations. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New.

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Etat : New. pp. 376.

Paperback. Etat : Brand New. 356 pages. 9.00x6.00x0.85 inches. In Stock.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - In this monograph the author presents the theory of duality fornonconvex approximation in normed linear spaces and nonconvex globaloptimization in locally convex spaces. Key topics include:\* duality for worst approximation (i.e., the maximization of thedistance of an element to a convex set)\* duality for reverse convex best approximation (i.e., the minimization ofthe distance of an element to the complement of a convex set)\* duality for convex maximization (i.e., the maximization of a convexfunction on a convex set)\* duality for reverse convex minimization (i.e., the minimization of aconvex function on the complement of a convex set)\* duality for d.c. optimization (i.e., optimization problems involvingdifferences of convex functions).Detailed proofs of results are given, along with varied illustrations.While many of the results have been published in mathematical journals,this is the first time these results appear in book form. Inaddition, unpublished results and new proofs are provided. Thismonograph should be of great interest to experts in this and relatedfields.Ivan Singer is a Research Professor at the Simion Stoilow Institute ofMathematics in Bucharest, and a Member of the Romanian Academy. He isone of the pioneers of approximation theory in normed linear spaces, andof generalizations of approximation theory to optimization theory. Hehas been a Visiting Professor at several universities in the U.S.A.,Great Britain, Germany, Holland, Italy, and other countries, and was theprincipal speaker at an N. S. F. Regional Conference at Kent StateUniversity. He is one of the editors of the journals NumericalFunctional Analysis and Optimization (since its inception in 1979),Optimization, and Revue d'analyse num'erique et de th'eorie del'approximation. His previous books include Best Approximation inNormed Linear Spaces by Elements of Linear Subspaces (Springer 1970),The Theory of Best Approximation and Functional Analysis (SIAM 1974), Basesin Banach Spaces I, II (Springer, 1970, 1981), and Abstract Convex Analysis(Wiley-Interscience, 1997).

Paperback. Etat : new. Paperback. The theory of convex optimization has been developing constantly over the past 30 years. Recently, 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" optimization problems. This monograph contains an exhaustive presentation of the duality theory for these classes of problems and their generalizations. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 376 pp. Englisch.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains the latest results (most recent related book was published almost 5 years ago)Reviews new and sophisticated variations capping 3 decades of progress in the fieldProvides a comprehensive analysis of so-called anticonv.

Taschenbuch. Etat : Neu. Duality for Nonconvex Approximation and Optimization | Ivan Singer | Taschenbuch | xx | Englisch | 2010 | Springer | EAN 9781441921031 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Etat : New. Print on Demand pp. 376 17 Illus.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 376 pp. Englisch.

Etat : New. PRINT ON DEMAND pp. 376.