Optimization and Simulation: Bayesian Inference

Related lectures (32)

Page 3 of 4

Explores Bayesian cluster analysis, simulation of cluster metrics, and evaluation metrics in single molecule localization microscopy.

Covers fundamental concepts of optimization and operations research, exploring real-world examples and key topics over a semester.

Explores greedy heuristics, neighborhoods in optimization, and local search algorithms.

Explores Monte Carlo moves in simulation, including trial moves and biased moves, comparing Monte Carlo with Molecular Dynamics.

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

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

Explores optimization and simulation techniques for variance reduction in draws.

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

Explores optimization and estimation in Monte Carlo methods, emphasizing Bayes-optimal groups and estimators.

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