Course Syllabus: MATH 245A, Winter 2023
Instruction
- Instructor: Jiawang Nie
- Office: AP&M 5864.
- Phone: (858) 534-6015.
- Email: njw "AT" math . ucsd . edu.
- Office hours: 2:00-3:00 (Wednesdays, in zoom),
3:30-4:30 (Thursdays, in office),
or aftter the lectures.
Lectures
- Time: 5:00 pm - 6:20 pm on TuTh.
- Location: APM B412.
TA Contact Info
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Xiaomeng Hu: x8hu@ucsd.edu,
OHs: 9:00-11:00am (Thursdays), in zoom through canvas.
Course Description
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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.
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Prerequisite
- Basic training in real analysis and linear algebra, or consent by the instructor.
Textbook
- There are no required textbooks. The recommended ones are
Convex Optimization by Boyd and Vandenberghe,
Lectures on Modern Convex Optimization by Ben-Tal and Nemirovski.
Assignments
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Homework will be assigned regularly.
Details about completing homework will be given in class.
Please write your names, ID nubmers, and section numbers on your homework.
Exams
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There is no final exam scheduled for this course.
Grading
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The grade will be based on the performance
of completing homework assignments and attendance to classes.
Academic Integrity
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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.
-
See
UCSD Policy on Integrity of Scholarship.