Prerequisites: upper-division 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 optimization - gradient, steepest descent, Newton methods, and gradient projection methods. Solves various engineering optimization examples using MATLAB. Does not meet the technical elective requirement for Electrical Engineering students.
Credit: Credit is awarded for only one of ENGR 160 or ENGR 160V.