Convex Optimization: ExercisesCovers exercises on convex optimization, focusing on formulating and solving optimization problems using YALMIP and solvers like GUROBI and MOSEK.
Hedging for LPsCovers the concept of hedging for Linear Programs and the simplex method, focusing on minimizing costs and finding optimal solutions.
Simplex AlgorithmCovers the Simplex algorithm for function minimization with linear constraints.
Optimization PrinciplesCovers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
Nonlinear Optimization MethodsCovers methods for solving nonlinear optimization problems, including direct search, Newton-Raphson, and branch and bound.
Relations Between EventsExplores relations between events, disjunctive constraints, and modeling with binary variables in optimization problems.
Optimization in EngineeringExplores optimization methods in engineering, covering decision variables, constraints, and various solving techniques.
