Numerical Analysis of Stochastic PDEs

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Numerical Analysis of Stochastic PDEs

 11 - 12 May 2009

ICMS

  • Evelyn Buckwar, Heriot-Watt University
  • Gabriel Lord, Heriot-Watt University

About:

In this meeting the organisers brought together researchers focusing on the analysis of stochastic partial differential equations (SPDEs), those concentrating on the applications and researchers designing and analysing numerical schemes for SPDEs. Such a three-way interaction was key to designing efficient and accurate numerical schemes as well as a good understanding of the physical processes and can assist and open new avenues in the mathematical analysis.

Speakers

Zdzislaw Brzezniak, University of York - On Stochastic PDEs and Ferromagnetism

Istvan Gyongy, University of Edinburgh - Accelerated Finite Difference Schemes  

Erika Hausenblas, University of Salzburg - The Numerical Approximation of the Stochastic Wave equation  

Patrick Jenny, ETH Zürich - Stochastic Modelling of No-Equilibrium Multi-Phase Flow to Link Pore Scale Dynamics with Darcy Scale Behaviour  

Arnulf Jentzen, Johann Wolfgang Goethe-University - Higher Order Numerical Approximation of Stochastic Partial Differential Equations - a Taylor Expansion Approach  

Nicolai Krylov, University of Minnesota - On the It^o and It^o-Wentzell Formulas in the Theory of SPDEs  

Rachel Kuske, University of British Columbia - Competition of Different Noise Sources in Delay Dynamics  

Omar Lakkis, University of Sussex - Computations and Stochastic Diffuse-Interface Models

Wolfgang Nowak, Institut für Wasserbau - Challenges and Demands from the Application Side of Stochastic Modelling  

Rob Scheichl, University of Bath - Computational challenges in Uncertainty Quantification  

Tony Shardlaw, University of Manchester - Pathwise Error Bounds for Exponential Integrator Scheme

Sponsors and Funders:

Funded by EPSRC, LMS and EMS