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Hierarchical Optimization and Mathematical Physics
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ISBN: 9780792361756

This book should be considered as an introduction to a special dass of hierarchical systems of optimal control, where subsystems are described by partial differential equations of various… mais…

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Hierarchical Optimization and Mathematical Physics: 37 (Applied Optimization, 37) - Tsurkov, Vladimir
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Tsurkov, Vladimir:

Hierarchical Optimization and Mathematical Physics: 37 (Applied Optimization, 37) - encadernado, livro de bolso

2000, ISBN: 9780792361756

Springer, Hardcover, Auflage: 2000, 320 Seiten, Publiziert: 2000-01-31T00:00:01Z, Produktgruppe: Book, 1.39 kg, Books Global Store, Special Features, Books, Theory & Philosophy, Economics… mais…

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Hierarchical Optimization and Mathematical Physics - Vladimir Tsurkov
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Vladimir Tsurkov:
Hierarchical Optimization and Mathematical Physics - Livro de bolso

2000

ISBN: 9780792361756

*Hierarchical Optimization and Mathematical Physics* - Auflage 2000 / gebundene Ausgabe für 131.99 € / Aus dem Bereich: Bücher, Wissenschaft, Mathematik Medien > Bücher nein Buch (gebunde… mais…

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Vladimir Tsurkov:
Hierarchical Optimization and Mathematical Physics 37 Applied Optimization - Livro de bolso

2001, ISBN: 9780792361756

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Hierarchical Optimization and Mathematical Physics (APPLIED OPTIMIZATION Volume 37) (Applied Optimization, 37) - Tsurkov, Vladimir
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Tsurkov, Vladimir:
Hierarchical Optimization and Mathematical Physics (APPLIED OPTIMIZATION Volume 37) (Applied Optimization, 37) - encadernado, livro de bolso

2000, ISBN: 079236175X

[EAN: 9780792361756], New book, [PU: Springer], New. In shrink wrap., Books

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Hierarchical Optimization and Mathematical Physics

This book should be considered as an introduction to a special class of hierarchical systems of optimal control, where subsystems are described by partial differential equations of various types. Optimization is carried out by means of a two-level scheme, where the center optimizes coordination for the upper level and subsystems find the optimal solutions for independent local problems. The main algorithm is a method of iterative aggregation. The coordinator solves the problem with macrovariables, whose number is less than the number of initial variables. On the lower level, we have the usual optimal control problems of mathematical physics, which are far simpler than the initial statements. Thus, we bridge the gap between two disciplines: optimization theory of large-scale systems and mathematical physics. The first motivation was a special model of branch planning, where the final product obeys a precept assortment relation. Audience: The monograph is addressed to specialists in operations research, optimization, optimal control, and mathematical physics.

Dados detalhados do livro - Hierarchical Optimization and Mathematical Physics


EAN (ISBN-13): 9780792361756
ISBN (ISBN-10): 079236175X
Livro de capa dura
Livro de bolso
Ano de publicação: 2000
Editor/Editora: SPRINGER NATURE
320 Páginas
Peso: 0,630 kg
Língua: eng/Englisch

Livro na base de dados desde 2009-10-20T16:51:03+01:00 (Lisbon)
Página de detalhes modificada pela última vez em 2024-02-21T22:59:00+00:00 (Lisbon)
Número ISBN/EAN: 9780792361756

Número ISBN - Ortografia alternativa:
0-7923-6175-X, 978-0-7923-6175-6
Ortografia alternativa e termos de pesquisa relacionados:
Título do livro: mathematical physics, optimization physics


Dados da editora

Autor: Vladimir Tsurkov
Título: Applied Optimization; Hierarchical Optimization and Mathematical Physics
Editora: Springer; Springer US
310 Páginas
Ano de publicação: 2000-01-31
New York; NY; US
Língua: Inglês
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
X, 310 p.

BB; Hardcover, Softcover / Mathematik/Sonstiges; Kybernetik und Systemtheorie; Verstehen; Optimal control; mathematical physics; operations research; optimization; optimization theory; Systems Theory, Control; Optimization; Calculus of Variations and Optimization; Applications of Mathematics; Quantitative Economics; Optimierung; Angewandte Mathematik; Wirtschaftstheorie und -philosophie; BC

Preface. 1. The Main Model and Constructions of the Decomposition Method. 2. Generalization of the Decomposition Approach to Mathematical Programming and Classical Calculus of Variations. 3. Hierarchical Systems of Mathematical Physics. 4. Effectiveness of Decomposition. 5. Appendix. The Main Approaches in Hierarchical Optimization. Index.

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