| Global Optimization: Deterministic Approaches Rev and Enl Edition Contributor(s): Horst, Reiner (Author), Tuy, Hoang (Author) |
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ISBN: 3540610383 ISBN-13: 9783540610380 Publisher: Springer OUR PRICE: $313.49 Product Type: Hardcover - Other Formats Published: May 1996 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Mathematics | Linear & Nonlinear Programming - Business & Economics | Operations Research - Mathematics | Applied |
| Dewey: 519.76 |
| LCCN: 96019368 |
| Physical Information: 1.56" H x 6.14" W x 9.21" (2.70 lbs) 730 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |