|
![]() |
|||
|
||||
OverviewThere 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. Full Product DetailsAuthor: David González-Sánchez , Onésimo Hernández-LermaPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2013 ed. Dimensions: Width: 15.50cm , Height: 0.40cm , Length: 23.50cm Weight: 1.569kg ISBN: 9783319010588ISBN 10: 3319010581 Pages: 69 Publication Date: 02 October 2013 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction and summary.- Direct problem: the Euler equation approach.- The inverse optimal control problem.- Dynamic games.- Conclusion.- References.- IndexReviewsAuthor InformationDavid 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. Tab Content 6Author Website:Countries AvailableAll regions |