Optimization and Simulation

Related lectures (32)

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Explores solving Connect Four using game theory algorithms and compares Alpha-Beta pruning with Monte-Carlo tree search.

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Explores optimization, simulation, heuristics, and Pareto solutions in multi-objective problems.

By Prof. François Marechal covers the simulation and optimization of energy systems in industrial processes, waste, resources, and energy conversion.

Introduces discrete event simulation through the example of Rico at Satellite, emphasizing the importance of statistical analysis.

Explores optimization and simulation techniques for variance reduction in draws.

Explores optimization techniques like Metropolis-Hastings and Simulated Annealing through Markov chains and stationary distributions.

Explores optimization in energy systems, focusing on decision-making through objective functions and constraints to determine system states.

Covers scientific computing, process automation, and data management in computer science applications across different sectors.

Explores energy systems modeling, optimization, and cost analysis for efficient operations.