Course Syllabus: MATH 245A, Fall 2016
- Instructor: Prof. Jiawang Nie
- Office: AP&M 5864.
- Phone: (858) 534-6015.
- Email: njw "AT" math . ucsd . edu.
- Office hours: 4:30-5:30 (MWF).
- Time: 2:00 pm - 2:50 pm on MWF
- Location: APM B402A
TA Contact Info
Brian Preskitt: firstname.lastname@example.org, OH: 2-3:30 (TuTh), AP&M 5712.
This graduate level course will focus on basic theory, algorithms and applications of convex
analysis and optimization. The topic to be convered includes: basic
theory of convex sets and convex functions,
Lagrange duality theory, basic properties of convex optimization problems,
applications and comptational methods for convex optimization.
- Basic training in analysis and linear algebra, or consent by the instructor.
- The recommended textbooks are
Convex Optimization by Boyd and Vandenberghe,
Lectures on Modern Convex Optimization by Ben-Tal and Nemirovski.
Homework will be assigned online and collected in the HW dropbox.
Please write your names, ID nubmers, and section numbers on your homework,
and staple together your homework pages.
Homework Assignment #1,
due on 10/14/2016
Homework Assignment #2,
due on 10/28/2016
Homework Assignment #3,
due on 11/18/2016
Homework Assignment #4,
due on 12/02/2016
There will be no written exams for this course.
The final course grade will be based on the performance
of completing homework assignments.
Every student is expected to conduct themselves with academic integrity.
Any kind of cheatings is not allowed in this course.
Violations of academic integrity will be treated seriously.
UCSD Policy on Integrity of Scholarship.