14.451 Dynamic Optimization Methods with Applications


Class Info

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 2017). 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 on MIT OpenCourseWare at the Dynamic Optimization Methods with Applications site or on the 14.451 Stellar site.

Recommended Textbooks
Save up to up to 71% by purchasing through MIT Textbooks!
Unspecified Textbooks
Save up to a ton by purchasing through MIT Textbooks!
MIT 14.451 Dynamic Optimization Methods with Applications Related Textbooks
MIT 14.451 Dynamic Optimization Methods with Applications On The Web
Dynamic Optimization Methods with Applications
Tags
license ocw by-nc-sa lorenzoni creative dynamic optimization methods massachusetts institute of technology creative commons creative commons by-nc-sa

© Copyright 2015