Introduction to Optimization (ENGR 62, MS&E 111)

3–4 credits · Graduate

Formulation and computational analysis of linear, quadratic, and other convex optimization problems. Applications in machine learning, operations, marketing, finance, and economics. Prerequisite: CME 100 or MATH 51.