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MATH661.01

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Convex Optimization

Mathematics and Statistics SC - Faculty of Science

Subject

MATH - Mathematics

Description

An introduction to modern convex optimization, including basics of convex analysis and duality, linear conic programming, robust optimization, and applications.

Prerequisite(s): Admission to a graduate program in Mathematics and Statistics or consent of the Department.

Course Attributes

Fee Rate Group(Domestic) - A, Fee Rate Group(International) -B, GFC Hours (3-0)

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Units

3

Repeat for Credit

No

Subject code

MATH
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