Covers optimization and simulation techniques for drawing from multivariate distributions and dealing with correlations.
Explores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.
Explores optimization techniques like Metropolis-Hastings and Simulated Annealing through Markov chains and stationary distributions.
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Delves into the string game, showcasing the limitations of exhaustive testing and the importance of heuristics in problem-solving.
Covers the general framework of optimization and simulation, including deterministic control and the optimization problem.
