Discrete Optimization: Set Covering

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.

Covers the traveling salesman problem, modeling, constraints, additional constraints, and network representation.

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Explores optimization in energy systems, focusing on decision-making through objective functions and constraints to determine system states.