Prerequisites: MATH 010A; CS 010A or EE 020B or ME 018A, ME 018B; for the ENGR 160 online section; enrollment in the Master-in-Science in Engineering program
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: Credit is awarded for one of the following ENGR 160 or EE 284A.