35:37
publiée le 8 avril 2024
On the Radon-Carleman problem in uniformly rectifiable domains
De Irina Mitrea
Molecular dynamics algorithms: numerical and mathematical analysis
Apparaît dans la collection : On Future Synergies for Stochastic and Learning Algorithms / Sur les synergies futures autour des algorithmes d'apprentissage et stochastiques
We will present sampling algorithms which are used in computational statistical physics to sample multimodal measures and metastable dynamics. More precisely, we will focus on free energy adaptive biasing techniques to approximate thermodynamic quantities, and accelerated dynamics methods to sample the state-to-state dynamics of a metastable trajectory. The mathematical analysis of these algorithms relies on entropy techniques, and quasi-stationary distributions.
