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.

Here you find our ANNOUNCEMENT as a pdf

and here you find our final schedule and the PROGRAM.

Scientific Committee

The following invited speakers have already confirmed their participation:

The registration is CLOSED.




Research Center MATHEON ‎ ‎ ‎ Weierstrass Institute