- Winter 2021
Meeting Time:
MW 9:00am - 10:20am
Location:
* *
SLN:
17138
Joint Sections:
AMATH 515 A, IND E 515 B, MATH 515 B, AMATH 515 B, IND E 515 A
Instructor:
Catalog Description:
Maximization and minimization of functions of finitely many variables subject to constraints. Basic problem types and examples of applications; linear, convex, smooth, and nonsmooth programming. Optimality conditions. Saddlepoints and dual problems. Penalties, decomposition. Overview of computational approaches. Prerequisite: Proficiency in linear algebra and advanced calculus/analysis; recommended: Strongly recommended: probability and statistics. Desirable: optimization, e.g. Math 408, and scientific programming experience in Matlab, Julia or Python. Offered: jointly with AMATH 515/IND E 515.
Credits:
5.0
Status:
Active
Last updated:
May 25, 2021 - 5:23am