- Optimization Models

Catalog description

An introduction to creating, analyzing, solving, and interpreting real-world optimization models. Topics include linear, discrete, and nonlinear optimization techniques; linear and integer programming; the simplex method; sensitivity; duality; graphical analysis; and branch-and-bound techniques. Applications include transportation problems, finance scheduling, networks, and supply chains. Appropriate software tools for analyzing optimization models including MATLAB and spreadsheet software will be used.