Optimisation in Energy SystemsExplores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Approximation AlgorithmsCovers approximation algorithms for optimization problems, LP relaxation, and randomized rounding techniques.
Optimization and SimulationExplores optimization techniques like Metropolis-Hastings and Simulated Annealing through Markov chains and stationary distributions.
Optimization and SimulationCovers the general framework of optimization and simulation, including deterministic control and the optimization problem.
Optimization and SimulationExplores greedy heuristics in optimization, integrality constraints, and comparison of optimization methods.
Optimization and SimulationExplores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.
