Examples of optimization problems. Quadratic forms, minimum energy and distance. Least squares, generalized inverse. Location and classification of critical points. Variational treatment of eigenvalues. Lagrange multipliers. Linear programming.
This course may not be repeated for credit.
Prerequisite(s)
- Mathematics 311 or 313; and Mathematics 353 or 381 or Applied Mathematics 309 or Mathematics 331.
SyllabusSections
This course will be offered next in
Winter 2015.