Math 364 - Principles of Optimization
Course Description
| Optimization techniques are applied 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. The software 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. |
Announcements
| Monday, Aug 31: | The classroom has been changed to WEBSTER B8!! |
| Tuesday, Sep 8: | The AMPL session for Tuesday, Sep 15, will meet in class (and NOT in Neill 120). |
| Wednesday, Sep 23: | Homework 4 is now due on Friday, Sep 25 (5 pm). |
| Tuesday, Oct 6: | Homework 6 (and solutions) have been posted. This homework will not be graded, but is relevant for the midterm. |
Topics covered, and lecture notes
Handouts
Homeworks
Exams
Software
lp_solve - a free LP
and IP solver.