MAT 376 - Introduction to Optimization Credit Hours: 3
Prerequisites: MAT 261 , MAT 335 . Introduction to linear and nonlinear optimizations, emphasizing the underlying mathematical structures, geometric ideas, algorithms, and solutions of practical problems. Topics covered include: formulations, the geometry of linear optimization, duality theory, the simplex method, sensitivity analysis, integer programming, and network flows, optimal conditions for unconstrained and constrained optimizations, and numerical method for nonlinear optimization.
Click here for the Spring 2020 Class Schedule.