Winter 2023
Meeting:
MW 9:00am - 10:20am / SMI 211
SLN:
17476
Section Type:
Lecture
Joint Sections:
AMATH 515 B , IND E 515 A , MATH 515 A , AMATH 515 C , IND E 515 C , MATH 515 C , AMATH 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.
Institute Name:
UW PROFESSIONAL AND CONTINUING EDUCATION
Credits:
5.0
Status:
Active
Last updated:
November 8, 2024 - 1:35 pm