MTA 558 - Optimization Methods

Course Objectives

1-Provide fundamental knowledge about optimization processes to students
2-Provide knowledge and skills about parameter optimization problems and solution methods to students
3-Provide knowledge and skills about function optimization problems and solution methods to students

Course Description

Fundamentals. Single and multidimensional, constrained and unconstrained optimization problems. Parameter optimization and Mini-Max theory. Nonlinear programming and search techniques. Linear programming and Simplex method. Function optimization and Variations calculation.