Introduction to Optimization

3 credits · Undergraduate Programs

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. Prerequisite(s): Mathematics 311 and Mathematics 367.