Principles of Optimization (Linear Programming) - Math 364

Principles of Optimization (Math 364)

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 30: Lecture for Thursday, Jan 31, is canceled. A video has been posted.
Sun, Feb 24: On Monday, Feb 25, I'll be available 1–2 PM and 3–4 PM to answer questions. On Tuesday, Feb 26, I'll have office hours 10–11 AM and 1:30–2:30 PM.
Mon, Mar 18: Lecture for Tuesday, Mar 19, is canceled. A video lecture has been posted.
Tue, Mar 19: Office hours for Wednesday, Mar 20, will be 2-4 PM.
Mon, Apr 8: Tuesday's (Apr 9) class will meet in VMMC 102Q.
Thursday's (Apr 11) lecture will meet in VECS 105.

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Last modified: Mon Apr 08 15:41:12 PDT 2019