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Item Details
Title: FOUNDATIONS OF MATHEMATICAL OPTIMIZATION
CONVEX ANALYSIS WITHOUT LINEARITY
By: Diethard Pallaschke, Stefan Rolewicz
Format: Paperback

List price: £139.50


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ISBN 10: 9048148006
ISBN 13: 9789048148004
Publisher: SPRINGER
Pub. date: 7 December, 2010
Edition: Softcover reprint of hardcover 1st ed. 1997
Series: Mathematics and Its Applications 388
Pages: 585
Synopsis: Many books on optimization consider only finite dimensional spaces. This volume is unique in its emphasis: the first three chapters develop optimization in spaces without linear structure, and the analog of convex analysis is constructed for this case. Many new results have been proved specially for this publication. In the following chapters optimization in infinite topological and normed vector spaces is considered. The novelty consists in using the drop property for weak well-posedness of linear problems in Banach spaces and in a unified approach (by means of the Dolecki approximation) to necessary conditions of optimality. The method of reduction of constraints for sufficient conditions of optimality is presented. The book contains an introduction to non-differentiable and vector optimization. Audience: This volume will be of interest to mathematicians, engineers, and economists working in mathematical optimization.
Illustrations: XII, 585 p.
Publication: Netherlands
Imprint: Springer
Returns: Returnable
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