Editor(s): Deissenberg, Christophe; Hartl, Richard F. (University of Vienna). Series: Advances in Computational Management Science. Num Pages: 368 pages, biography. BIC Classification: KCA; KJM. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 19. Weight in Grams: 516. . 2010. 1st ed. Softcover of orig. ed. 2005. Paperback. . . . .

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Titolo: Optimal Control and Dynamic Games
Editore: Springer-Verlag New York Inc.
Data di pubblicazione: 2010
Lingua: Inglese
ISBN 10: 1441938397
ISBN 13: 9781441938398
Rilegatura: Brossura
Edizione: prima edizione
Condizione: New

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Riassunto

Optimal Control and Dynamic Games has been edited to honor the outstanding contributions of Professor Suresh Sethi in the fields of Applied Optimal Control. Professor Sethi is internationally one of the foremost experts in this field. He is, among others, co-author of the popular textbook "Sethi and Thompson: Optimal Control Theory: Applications to Management Science and Economics".

The book consists of a collection of essays by some of the best known scientists in the field, covering diverse aspects of applications of optimal control and dynamic games to problems in Finance, Management Science, Economics, and Operations Research. In doing so, it provides both a state-of-the-art overview over recent developments in the field, and a reference work covering the wide variety of contemporary questions that can be addressed with optimal control tools, and demonstrates the fruitfulness of the methodology.

Informazioni sull?autore

Prof. Christophe Deissenberg
GREQAM, UMR CNRS 6579
Universit� de la M�diterran�e
Ch�teau La Farge
Route des Milles
13290 Les Milles
France

Specialisted in economic dynamics, computational economics, decision-making, economic complexity, environmental economics

Prof. Richard Hartl
Chair of Production and Operations Management
BWZ, Institute of Management
University of Vienna
Bruennerstra�e 72
A-1210 Vienna
Austria

Specialized in quantitative methods in production and operations management, dynamics of the firm, optimal control, operations research (OR) methods and applications

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