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 not be offered this semester. It will be available in the Fall semester, and will be 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.
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