Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Discrete-Time Stochastic Control and Dynamic Potential Games : The Euler-Equation Approach, PDF eBook

Discrete-Time Stochastic Control and Dynamic Potential Games : The Euler-Equation Approach PDF

Part of the SpringerBriefs in Mathematics series

PDF

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

?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.

Information

Information

Also in the SpringerBriefs in Mathematics series  |  View all