Course Description
Formulation and analysis of algorithms for continuous and discrete optimization problems; linear, nonlinear, network, dynamic, and integer optimization; large-scale problems; software packages and their implementation; duality theory and sensitivity.
Great course with Prof. Friedlander. Although you should only take it if you are into Numerical Computation stuff.