Duality for Nonconvex Approximation and Optimization (Hardcover, 2006 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	CMS Books in Mathematics
Release date:	February 2006
First published:	2006
Authors:	Ivan Singer
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	356
Edition:	2006 ed.
ISBN-13:	978-0-387-28394-4
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis
LSN:	0-387-28394-3
Barcode:	9780387283944

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