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The Erwin Schroedinger Institute for Mathematical Physics

Numerical Analysis of Complex PDE Models in the Sciences

The programme will gather numerical analysis experts who are active in the mathematics of non standard discretization methods for complex partial differential equations (PDEs) featuring multiple fields, multiple scales, and stochastic effects. The aim is to bridge advanced and innovative discretizations, such as discontinuous Galerkin methods, isogeometric analysis, virtual element methods, and reduced basis methods, on the one side, with compressive discretizations inspired by computational harmonic analysis (wavelets, directional representation systems), completely new discretization methods based on recent developments in signal processing (compressive sensing and other randomization methods), and novel compression techniques from numerical linear algebra (H-matrix and tensor structured methods), on the other side.

The programme will also include selected application areas where novel computational PDE techniques are expected to make a critical difference for modelling and simulation. We will focus, in particular, on operator equations with stochastic input data, such as representations from deep learning, or Gaussian random fields on manifolds, multiscale models where solutions exhibit a continuum of scales, high frequency wave propagation problems, and interplay of PDE simulations and discretizations with data science, such as pixel inputs, kernel and neural network PDE input representations, machine learning based input data.

The programme contains three workshops.

Workshop 1: 
Interplay of tensor structured formats with advanced PDE discretizations; session on Signal processing techniques and directionally adapted discretizations, June 11-15, 2018

(organizers: Philipp Grohs and Christoph Schwab)


Workshop 2: 
Interplay of multiscale data assimilation and data science with advanced PDE discretizations, June 25-29, 2018

(organizers: Thomas Hou and Markus Melenk)


Workshop 3: 
Interplay of geometric processing, modelling, and adaptivity in Galerkin methods, July 16-20, 2018

(organizers: Annalisa Buffa and Ilaria Perugia)

At a glance

Type: Thematic Programme
When: Jun 11, 2018 to
Aug 17, 2018
Where: ESI, Boltzmann Lecture Hall
Organizers: Annalisa Buffa (EPFL Lausanne), Thomas Y. Hou (Caltech), J.Markus Melenk (TU Vienna), Ilaria Perugia (U Vienna), Christoph Schwab (ETH Zürich)
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