
Global Optimization
Deterministic Approaches
Springer (Publisher)
3rd Edition
Published on 15. May 1996
Book
Hardback
XVIII, 730 pages
978-3-540-61038-0 (ISBN)
Description
The main contents and character of the monograph did not change with respect to the first edition. However, within most chapters we incorporated quite a number of modifications which take into account the recent development of the field, the very valuable suggestions and comments that we received from numerous colleagues and students as well as our own experience while using the book. Some errors and misprints in the first edition are also corrected. Reiner Horst May 1992 Hoang Tuy PREFACE TO THE FIRST EDITION The enormous practical need for solving global optimization problems coupled with a rapidly advancing computer technology has allowed one to consider problems which a few years aga would have been considered computationally intractable. As a consequence, we are seeing the creation of a large and increasing number of diverse algorithms for solving a wide variety of multiextremal global optimization problems. The goal of this book is to systematically clarify and unify these diverse approaches in order to provide insight into the underlying concepts and their pro perties. Aside from a coherent view of the field much new material is presented.
More details
Edition
Third Edition 1996
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Edition type
New edition
Illustrations
XVIII, 730 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 45 mm
Weight
1285 gr
ISBN-13
978-3-540-61038-0 (9783540610380)
DOI
10.1007/978-3-662-03199-5
Schweitzer Classification
Other editions
Additional editions

E-Book
11/2013
3rd Edition
Springer
€341.33
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Book
12/2010
3rd Edition
Springer
€353.09
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Previous edition
Book
12/1992
2nd Edition
Springer
€85.59
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Content
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.