Course Format: 

A combination of handouts delivering, blackboard writing, and slides displaying

Taking (some) classroom notes should be helpful.

Computer Techniques: 

(1) AMPL: with the solvers on NEOS

(2) Other advanced computer languages and interfaces

Homework for Individuals :

(1) Preview of the specified texts announced on the course website

(2) Expected 3 homework sets

Group Oral Presentations (with slides shared with the class) :

Assigned question to each group

Group Final Project (oral presentation) :

Assigned or selected project. Announced after midterm

Grading Weights:

Homework 30%; 

Group oral presentations and In-class discussions 10%; 

Midterm Exam 30%; 

Final Project 30%

Academic Integrity and Student Responsibilities:

Cheating in any format is prohibited. Plagiarism is prohibited.

Topics and Homework Assignments Schedule:

Announced on this Course Website

Course Contents:

1. Unconstrained optimization

2. Constrained optimization

3. Lagrange multiplier methods,

4. Sequential quadratic programming methods

5. Interior-point methods

6. Related classes of problems

7. Special topics