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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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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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 84 pp. Englisch. Nº de ref. del artículo: 9783319010588
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783319010588
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783319010588
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Taschenbuch. Condición: Neu. Discrete¿Time Stochastic Control and Dynamic Potential Games | The Euler¿Equation Approach | Onésimo Hernández-Lerma (u. a.) | Taschenbuch | SpringerBriefs in Mathematics | Paperback | xiv | Englisch | 2013 | Springer Nature Switzerland | EAN 9783319010588 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 105660358
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