Connecting random fields on manifolds and stochastic partial differential equations in simulations
Paper in proceeding, 2023

Gaussian random fields

Riemannian manifolds

spectral approximation

stochastic wave equation

stochastic partial differential equations

surface finite element methods

sphere

Author

Annika Lang

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Oberwolfach Reports

1660-8933 (ISSN) 1660-8941 (eISSN)

Vol. 19 1 349-352

Space-Time Methods for Time-Dependent Partial Differential Equations
MFO, Germany,

Stochastic Continuous-Depth Neural Networks

Chalmers AI Research Centre (CHAIR), 2020-08-15 -- .

Efficient approximation methods for random fields on manifolds

Swedish Research Council (VR) (2020-04170), 2021-01-01 -- 2024-12-31.

Subject Categories

Mathematics

Computational Mathematics

Probability Theory and Statistics

DOI

10.4171/OWR/2022/6

More information

Latest update

12/19/2023