Non-Fiction Books:

Foundations of Mathematical Optimization

Convex Analysis without Linearity
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$449.00
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Description

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.
Release date NZ
December 7th, 2010
Audience
  • Postgraduate, Research & Scholarly
Edition
Softcover reprint of hardcover 1st ed. 1997
Illustrations
XII, 585 p.
Pages
585
Dimensions
155x235x30
ISBN-13
9789048148004
Product ID
11077481

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