Covers exercises on convex optimization, focusing on formulating and solving optimization problems using YALMIP and solvers like GUROBI and MOSEK.
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
On Convex Optimization covers course organization, mathematical optimization problems, solution concepts, and optimization methods.
