Foundations of Mathematical Optimization

Name: Foundations of Mathematical Optimization
SKU: 2051480
Price: 409.99 AUD
Availability: InStock

Convex Analysis without Linearity

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Format:

Hardback

Series:

Mathematics and its Applications

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Description

Many books on optimization consider only finite dimensional spaces. This volume has a different 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.

Release date Australia

February 28th, 1997

Author

Audience

Professional & Vocational

Illustrations

XII, 585 p.

Pages

585

Series

Mathematics and its Applications

Dimensions

156x234x33

ISBN-13

9780792344247

Product ID

2051480

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