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Discrete–Time Stochastic Control and Dynamic Potential Games: The Euler–Equation Approach (SpringerBriefs in Mathematics) - Softcover
Inhaltsangabe
There are several techniques to study noncooperative dynamic games, such as dynamic programming and the maximum principle (also called the Lagrange method). It turns out, however, that one way to characterize dynamic potential games requires to analyze inverse optimal control problems, and it is here where the Euler equation approach comes in because it is particularly well-suited to solve inverse problems. Despite the importance of dynamic potential games, there is no systematic study about them. This monograph is the first attempt to provide a systematic, self-contained presentation of stochastic dynamic potential games.
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Über die Autorin bzw. den Autor
David Gonzalez–Sanchez is Assistant Professor at ITAM Mathematics Department, Mexico City, Mexico. Onesimo Hernandez–Lerma is Professor and Chair, CINVESTAV–IPN Mathematics Department, Mexico City, Mexico.
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DiscreteTime Stochastic Control and Dynamic Potential Games: The Eulerequation Approach
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Paperback. Zustand: Brand New. 2013 edition. 69 pages. 9.00x6.00x0.15 inches. In Stock. Artikel-Nr. x-3319010581
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Discrete-Time Stochastic Control and Dynamic Potential Games
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Springer International Publishing, 2013
ISBN 10: 3319010581
ISBN 13: 9783319010588
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Discrete¿Time Stochastic Control and Dynamic Potential Games
ISBN 10: 3319010581
ISBN 13: 9783319010588
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Taschenbuch. Zustand: Neu. Neuware -¿There are several techniques to study noncooperative dynamic games, suchas dynamic programming and the maximum principle (also called the Lagrangemethod). It turns out, however, that one way to characterize dynamic potentialgames requires to analyze inverse optimal control problems, and it is here wherethe Euler equation approach comes in because it is particularly well¿suited tosolve inverse problems.Despite the importance of dynamic potential games, there is no systematicstudy about them. Thismonograph isthe firstattempt to provide a systematic, self¿contained presentation of stochastic dynamicpotential games.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 84 pp. Englisch. Artikel-Nr. 9783319010588
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Discrete¿Time Stochastic Control and Dynamic Potential Games : The Euler¿Equation Approach
Verlag:
Springer International Publishing, 2013
ISBN 10: 3319010581
ISBN 13: 9783319010588
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - There are several techniques to study noncooperative dynamic games, such as dynamic programming and the maximum principle (also called the Lagrange method). It turns out, however, that one way to characterize dynamic potential games requires to analyze inverse optimal control problems, and it is here where the Euler equation approach comes in because it is particularly well-suited to solve inverse problems. Despite the importance of dynamic potential games, there is no systematic study about them. This monograph is the first attempt to provide a systematic, self-contained presentation of stochastic dynamic potential games. Artikel-Nr. 9783319010588
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