Entropy Optimization and Mathematical Programming

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International Series in Operations Research & Management Science 8

ISBN: 0792399390
ISBN 13: 9780792399391
Autor: Shu-Cherng Fang/Rajasekera, J R/Tsao, H S J
Verlag: Springer Verlag GmbH
Umfang: x, 343 S.
Erscheinungsdatum: 31.07.1997
Produktform: Gebunden/Hardback
Einband: GEB

Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. A systematic presentation with proper mathematical treatment of this material is needed in all application areas. The purpose of this book is to meet this need.

Artikelnummer: 1554851 Kategorie:

Beschreibung

InhaltsangabePreface. 1. Introduction to Entropy and Entropy Optimization Principles. 2. Entropy Optimization Models. 3. Entropy Optimization Methods: Linear Case. 4. Entropy Optimization Methods: General Convex Case. 5. Entropic Perturbation Approach to Mathematical Programming. 6. Lp-Norm Perturbation Approach: A Generalization of Entropic Perturbation. 7. Extensions and Related Results. Bibliography. Index.

Inhaltsverzeichnis

Preface. 1. Introduction to Entropy and Entropy Optimization Principles. 2. Entropy Optimization Models. 3. Entropy Optimization Methods: Linear Case. 4. Entropy Optimization Methods: General Convex Case. 5. Entropic Perturbation Approach to Mathematical Programming. 6. Lp-Norm Perturbation Approach: A Generalization of Entropic Perturbation. 7. Extensions and Related Results. Bibliography. Index.

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