There are currently no scheduled offerings of this course. For more information on when this course may be offered in the future please contact the Registrar's Office.
Introduction to optimization (definition, notation and taxonomy); unconstrained optimization using gradient descent and stochastic gradient descent; linear programming: The Simplex Method; constrained optimization and Lagrange multipliers; convex optimization and quadratic programming. Prerequisites: AUMAT 216 and one of AUMAT 240 or AUSCI 250 (2023).