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Course information
  • Instructor: Xiaohui Xie
  • Meeting information: TT 3:30-4:50pm Room: ICS 180
  • Office hours: TT after class
Prerequisites
  • multivariate calculus and linear algebra
Course Description

This course will focus on formulating and solving convex optimization problems arising in engineering and science. Topics include: convex analysis, linear and quadratic programming, semidefinite programming, optimality conditions, duality theory, interior-point methods, subgradient methods, convex relaxation.

Textbook
Lectures
[[ConvexOptFall2010Projects | Projects]]
Key dates

* Final exam: Mar 15, 4:00-6:00pm (Bring one examination blue book!) * Final project due: Mar 18, 5pm, hard copy in Bren Hall 4058

Exercise

* Convex sets: 2.1, 2.9, 2.12, 2.15, 2.23, 2.24, 2.33 (from the textbook)

* Convex functions: 3.2, 3.15, 3.16, 3.36, 3.42

* Convex problems; 4.1, 4.65

* Duality: 5.1, 5.13, 5.38, 5.42

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