MATH 5432 - Optimization

Credit Hours: 3 Lecture: 3 Lab: 0

This course is intended to cover central concepts of practical optimization techniques on linear and nonlinear programming, such as simplex methods, primal and dual methods, steepest descent methods, conjugate direction methods, quasi-Newton methods, penalty and barrier methods, etc. The application of optimization in engineering, business, management science, and statistics are also introduced.

Prerequisites: MATH 2318 .