Covers the concept of hedging for Linear Programs and the simplex method, focusing on minimizing costs and finding optimal solutions.
Covers the basics of optimization, including historical perspectives, mathematical formulations, and practical applications in decision-making problems.
Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
Explores duality in linear programming, strong duality, complementary slackness, and the economic interpretation of dual variables as prices.
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
