MATH 325 - Introduction to Optimization - Fall 2023

An example driven overview of optimization problems: quadratic forms, minimum energy and distance, least squares, generalized inverses, location and classification of critical points, variational treatment of eigenvalues, Lagrange multipliers and linear programming.
This course may not be repeated for credit.