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Optimization and Simulation
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Related lectures (32)
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Optimization and Simulation
Covers the general framework of optimization and simulation, including deterministic control and the optimization problem.
Markov Chains: Simulation and Optimization
Explores Markov chains, Metropolis-Hastings, and simulation for optimization purposes, highlighting the significance of ergodicity in efficient variable simulation.
Energy Systems Simulation and Optimization
By Prof. François Marechal covers the simulation and optimization of energy systems in industrial processes, waste, resources, and energy conversion.
Optimization and Simulation
Introduces discrete event simulation through the example of Rico at Satellite, emphasizing the importance of statistical analysis.
Bioprocesses Design: MATLAB Basics
Covers designing and optimizing bioprocesses using MATLAB for modeling enzyme kinetics, chemical design, and bioreactors.
Optimization and Simulation: Heuristics Intensification
Explores optimization and simulation techniques, emphasizing heuristics intensification for efficient solution finding.
Energy Systems Optimization
Explores energy systems modeling, optimization, and cost analysis for efficient operations.
Optimization Methods: Theory Discussion
Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.
Introduction to Computer Science: Three Domains
Covers scientific computing, process automation, and data management in computer science applications across different sectors.
Shape Design: Optimization and Simulation
Explores shape design, optimization, and simulation using geodesic CNNs for aerodynamic performance.
