Optimization

Topics covered

• Linear programming: Modeling, transformations, geometry, and the simplex method.
• Duality & integer optimization: Duality theory, sensitivity analysis, LP relaxation, and branch-and-bound.
• Optimality & convexity: Unconstrained and constrained optimality, KKT conditions, and convex optimization.
• Nonlinear optimization: Algorithms for nonlinear problems.