We develop a thermodynamically compatible model that can be identified as generalisation of the Burgers model and that seems capable of describing the nonli
We present our recent results on the analysis and numerical simulations of the so-called diffusive Peterlin model for unsteady incompressible polymeric flui
We develop a new Multilevel Markov Chain Monte Carlo sampling strategy for Bayesian Inversion of partial differential equations,with sampling from a multile
The mini-symposium aims to present challenging problems of multiscale description of various phenomena including polymeric fluids,collective behaviour,to na
In this talk,we are concerned with the analysis and numerical solution of a stochastic inverse anomaly detection problem in electrical impedance tomography(
The aim of the minisymposium is to highlight new research results in inverse problems that involve stochastic modelling and partial differential equations.
Solving inverse problems by Bayesian inference has become popular because the probabilistic representation of the solution allows for a rigorous quantificat