Global Optimization: Deterministic Approaches

Author:   Reiner Horst ,  Hoang Tuy
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 3rd ed. 1996
ISBN:  

9783642082474


Pages:   730
Publication Date:   04 December 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Global Optimization: Deterministic Approaches


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Overview

The new edition contains modifications and additions which take into account recent developments in the field. From the reviews of earlier editions: ""The book is clearly written and lucidly structured. In particular, the used notations are thoroughly defined, the diverse ideas are well explained, and the results are beautifully motivated."" (ZOR. Methods and Models of Operations Research). This book develops a systematic and unifying approach to the most important classes of constrained global optimization and their solution techniques. The main problem classes treated are concave minimization, reverse convex and d. c. programming, Lipschitz and continuous optimization, and systems of equations and inequalities.

Full Product Details

Author:   Reiner Horst ,  Hoang Tuy
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of hardcover 3rd ed. 1996
Dimensions:   Width: 15.50cm , Height: 3.70cm , Length: 23.50cm
Weight:   1.128kg
ISBN:  

9783642082474


ISBN 10:   3642082475
Pages:   730
Publication Date:   04 December 2010
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Contents: Some Important Classes of Global Optimization Problems.- Outer Approximation.- Concavity Cut.- Branch and Bound.- Cutting Methods.- Successive Approximation Methods.- Successive Partition Methods.- Decomposition of Large Scale Problems.- Special Problems of Concave Minimization.- D.C. Programming.- Lipschitz and Continuous Optimization.

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