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130919s2013 gw | s |||| 0|eng d |
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|a 9783319010595
|9 978-3-319-01059-5
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|a 10.1007/978-3-319-01059-5
|2 doi
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|a Q295
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|a QA402.3-402.37
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|a GPFC
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|a SCI064000
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|a TEC004000
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|a 519
|2 23
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|a Gonzl̀ez-Sǹchez, David.
|e author.
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|a Discrete<U+0013>Time Stochastic Control and Dynamic Potential Games
|b The Euler<U+0013>Equation Approach /
|c by David Gonzl̀ez-Sǹchez, Onšimo Hernǹdez-Lerma.
|h [electronic resource] :
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2013.
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|a XIV, 69 p.
|b online resource.
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|a text
|b txt
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Mathematics,
|x 2191-8198
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|a Introduction and summary.- Direct problem: the Euler equation approach.- The inverse optimal control problem.- Dynamic games -- Conclusion -- References -- Index.
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|a 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<U+0013>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<U+0013>contained presentation of stochastic dynamic potential games.
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|a Mathematics.
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|a Systems theory.
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|a Distribution (Probability theory).
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|a Mathematics.
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|a Systems Theory, Control.
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|a Probability Theory and Stochastic Processes.
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|a Control.
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|a Hernǹdez-Lerma, Onšimo.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319010588
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|a SpringerBriefs in Mathematics,
|x 2191-8198
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-319-01059-5
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|a ZDB-2-SMA
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|a Mathematics and Statistics (Springer-11649)
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