Explores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.
Covers optimization methods, focusing on gradient methods and line search techniques.
Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.
