Annuncio di Workshop:
Direct and Inverse Problems for PDEs with Random Coefficients November 9 – 13, 2015
Scope of the Workshop
Validated predictive computations in a wide range of scientific and engineering applications require some form of uncertainty quantification. This workshop focuses on different applications, the analysis and numerical treatment of PDEs with stochastic data. This includes but is not limited to
efficient numerical methods for the direct (forward) problem, in particular spectral and sampling approaches control problems with uncertainties sparse and low-rank tensor representations inverse problems with random data, in particular methods based on Bayesian inference.
The workshop aims at bringing together scientists working in related fields to discuss new results and challenges.