Optimization in EngineeringExplores optimization methods in engineering, covering decision variables, constraints, and various solving techniques.
Hedging for LPsCovers the concept of hedging for Linear Programs and the simplex method, focusing on minimizing costs and finding optimal solutions.
Linear Programming: Convex HullCovers MAE regression, convex hull, reformulation advantages, and practical problems with decision variables and constraints.
KKT and Convex OptimizationCovers the KKT conditions and convex optimization, discussing constraint qualifications and tangent cones of convex sets.