Skip to Main Content

Prescriptive Analytics and Optimization

This course covers formulations, applications and theory of optimization. Linear, integer, and nonlinear programming including an introduction to the simplex method, sensitivity analysis, duality, interior methods and KKT conditions. Developing an appropriate mathematical model and solving it with an advanced solver.