Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 124,90
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 155,36
Anzahl: 3 verfügbar
In den WarenkorbZustand: New. pp. xii + 497 Illus.
EUR 197,26
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In den WarenkorbZustand: New. "Linear Quadratic Differential Games" is an assessment of the state of the art in its field and modern book on linear-quadratic game theory, one of the most commonly used tools for modelling and analysing strategic decision making problems in economics and management. Num Pages: 510 pages, Illustrations. BIC Classification: PBKJ; PBUD; PBWL. Category: (P) Professional & Vocational. Dimension: 253 x 176 x 35. Weight in Grams: 1110. . 2005. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: John Wiley & Sons Apr 2005, 2005
ISBN 10: 0470015241 ISBN 13: 9780470015247
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - A self-contained introduction to an extensively used of economic models.'Linear Quadratic Differential Games' is an assessment of the state of the art in its field and modern book on linear-quadratic game theory, one of the most commonly used tools for modelling and analysing strategic decision making problems in economics and management. Linear quadratic dynamic models have a long tradition in economics, operations research and control engineering; and the author begins by describing the one-decision maker LQ dynamic optimization problem before introducing LQ differential games.\* Covers cooperative and non-cooperative scenarios, and treats the standard information structures (open-loop and feedback).\* Includes real-life economic examples to illustrate theoretical concepts and results.\* Presents problem formulations and sound mathematical problem analysis.\* Includes exercises and solutions, enabling use for self-study or as a course text.\* Supported by a website featuring solutions to exercises, further examples and computer code for numerical examples.This comprehensive introduction will appeal to applied mathematicians and econometricians as well as researchers and senior undergraduate/ graduate students in economics, mathematics, engineering and management science.