Winter 2021
Meeting:
MW 9:00am - 10:20am / * *
SLN:
21852
Section Type:
Lecture
Joint Sections:
IND E 515 A , MATH 515 A , AMATH 515 A , IND E 515 B , MATH 515 B
Instructor:
FOR EDGE ONLINE STUDENTS ONLY.
MSE AND MSME CLASSROOM/DAY
STUDENTS SHOULD ENROLL IN STATE
SECTION. OTHER *ONLINE*
STUDENTS: PLEASE CONTACT AMATH
ADVISOR, LAUREN LEDERER, AT
GPA@AMATH.WASHINGTON.EDU, FOR
ADD CODE. PLEASE INCLUDE YOUR
STUDENT ID NUMBER.
OFFERED VIA REMOTE LEARNING
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 IND E 515/MATH 515.
Credits:
5.0
Status:
Active
Last updated:
January 13, 2025 - 3:40 pm