Computational Uncertainty Quantification: Mathematical Foundations, Methodology & Data
This ESI TP will gather at ESI leading researchers from applied mathematics, scientific computing and high-dimensional, computational statistics.
May 2nd – June 24th 2022
- 14:00 – 15:00 CEST
- ESI Boltzmann Lecture Hall
This ESI Thematic Programme will gather at ESI leading researchers from applied mathematics, scientific computing and high-dimensional, computational statistics around the emerging area of numerical uncertainty quantification (UQ for short) in engineering and in the sciences. The TP will concentrate on mathematical foundations and underpinnings of novel computational strategies for the efficient numerical approximation of PDEs with uncertain inputs, as well as on the analysis of statistical methodologies for high-dimensional statistical data resulting from such PDE simulations. Both forward and inverse problems will be considered.
Futher information here.