Prerequisites: graduate standing; or consent of instructor

Description: Introduction to formulating and solving optimization problems in engineering. Includes single-variable and multi-variable optimization; linear programming-simplex method; nonlinear unconstrained optimization-gradient, steepest descent, and Newton methods; and nonlinear constrained optimization-gradient projection methods. Addresses applications of optimization in engineering design problems. Solves various engineering optimization examples using MATLAB.

Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor. Credit is awarded for one of the following EE 284A or ENGR 160.