MATH 277A (Tensor Computation & Optimization)

Instruction

Instructor: Prof. Jiawang Nie

Office: AP&M 5864.

Phone: (858) 534-6015.

Email: njw "AT" math dot ucsd dot edu.

Office hours:

3:30-4:30 (Tu, 5864 AP&M),

2:00-3:00 (Wed., zoom),

or appointements by emails.

Lectures

Time: 2:00-3:20, TuTh

Location: 2330 MCGIL

TA Contact Info

TBD.

Course Description

This course will teach basic concepts, theory, algorithms and applications of tensor computation and optimization. The topics to be covered include: tensor space and tensor ranks, tensor decompositions, polynomial and tensor optimization, sum of squares, moment relaxations, semidefinite programming, and other related applications.

Prerequisite

Consent by Instructor.

Textbook

Not required books.

Assignments

There are no regular assignments for this course. To get a satisfacoty grade, the students can choose to do one of the following options:

Make a presentation in class, about any kind of research subjects that are related to this topic course, or

Write a term paper, focusing on one or more subjects covered in this research topic course, or

Any other kind of equivalent efforts, to be consent by the instructor.

Exams

There will be no written exams in this class.

Grading

The final course grade will be based on the performance of completing homework/project assignments.

Academic Integrity

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.