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Optimization and Simulation
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Optimization and Simulation
Explores optimization, simulation, heuristics, and Pareto solutions in multi-objective problems.
Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Optimization with Constraints: KKT Conditions
Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.
Optimisation in Energy Systems
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Optimization and Simulation
Explores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.
Optimization and Simulation: Heuristics and Neighborhoods
Explores greedy heuristics, neighborhoods in optimization, and local search algorithms.
Optimization and Simulation: Introduction to Simulation
Introduces state-of-the-art methods in optimization and simulation, covering topics like statistical analysis, variance reduction, and simulation projects.
Simulation & Optimization: Poisson Process & Random Numbers
Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.
Optimization and Simulation
Covers optimization and simulation techniques for drawing from multivariate distributions and dealing with correlations.
Optimization with Constraints: KKT Conditions
Covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions.
