Alexander Litvinenko is presenting his collaboration work at the SIAM PP conference in Tokyo, Japan, March 7-10, 2018. This work is done between the stochastic numerics group, Extreme Computing Research Center, and two statistical groups (led by Prof. M. Genton and Prof. Y. Sun) at KAUST.
Alexander Litvinenko will give an invited talk “Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets”, at the Institute of Computational Science, Lugano - Switzerland, December 20th, 2017.
​We present a numerical investigation of bi-disperse particle-laden gravity currents in the lock-exchange configuration. Previous results, based on numerical simulation and laboratory experiments, are used to establish comparisons.
Stochastic Differential Equations (SDE) offer a rich framework to model the probabilistic evolution of the state of a system. Numerical approximation methods are typically needed in evaluating relevant Quantities of Interest arising from such models. In this dissertation, we present novel effective methods for evaluating Quantities of Interest relevant to computational finance when the state of the system is described by an SDE.
Prof. Raul Tempone gave a talk entitled "Multilevel and multi-index sampling methods with applications" in the summer school CEMRACS 2017, Numerical methods for stochastic models: control, uncertainty quantification, mean-field, July 21, 2017, CIRM, Marseille, France.
Prof. Raul Tempone gave a talk entitled "A Potpourri of Results from the KAUST Uncertainty Quantification Center" at I³MS Seminar Series SS 2017, Seminar Series of the Institute for Modeling and Simulation. July 10, 2017, Aachen Institute for Advanced Study in Computational Engineering Science, Aachen, Germany.