A particular set of probabilistic inference algorithms common in robotics involve Sequential Monte Carlo methods, also known as "particle filtering," which approximates using repeated random sampling.
NGPDL develops models for simulating nonequilibrium flows using a variety of numerical techniques ranging from particle methods (e.g. direct simulation Monte Carlo, Particle In Cell, molecular ...
Professor of Astroparticle Physics PhD (Dr.rer.nat.) 1997, Technical University of Munich ...
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