SYS 5402 - Systems Optimization and Design

(4 credits)

Classical optimization techniques including Lagrange multipliers and Kuhn-Tucker conditions. Computer techniques for system optimization including linear programming, constrained and unconstrained nonlinear programming. Introduction to global optimization, genetic algorithm, and dynamic programming. The course emphasizes a design experience involving system modeling, simulation and optimal design. Offered summer. Formerly SYS 510.Offered summer.

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.