Principles of Optimization (Linear Programming) - Math 364

Math 364  - Principles of Optimization

Course Description
Optimization is used to model and solve problems from business, engineering, sciences, sports, and several other areas. This course will give an introduction to linear optimization and to integer linear optimization. Emphasis will be given to model formulation, basic theory behind solution techniques and algorithms, and to the use of modeling software. Topics covered will include linear programming formulations, the simplex algorithm, duality, and integer programming formulations. A modeling software (such as AMPL) will be introduced. Students will learn how to create models using this tool and to interpret the solutions. The targeted audience is junior or senior undergraduate students. A basic background in linear algebra (Math 220) will be required to follow the contents of the course.

Syllabus and Schedule  


Wed, Jan 18: Homework 1 is now due by 3 PM on Friday, Jan 20.
Wed, Jan 25: The class has been moved to VLIB 260 (the room next door).
Wed, Mar 1: Thursday (Mar 2) class will meet in VECS 122.

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Last modified: Wed Mar 01 21:21:12 PST 2017