14.451 Dynamic Optimization Methods with Applications
Provides an introduction to dynamic optimization methods, including discrete-time dynamic programming in non-stochastic and stochastic environments, and continuous time methods including the Pontryagin maximum principle. Applications may include the Ramsey model, irreversible investment models, and consumption choices under uncertainty. Enrollment limited.
This class has 14.06 as a prerequisite.
14.451 will be offered this semester (Fall 2018). It is instructed by A. Simsek.
Lecture occurs 1:00 PM to 2:30 PM on Tuesdays and Thursdays in E51-151.
This class counts for a total of 6 credits.
You can find more information at the MIT + 14.451 - Google Search site.
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