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In this talk we discuss the stochastic p-Laplace system. In general non-linear as well as stochastic equations have limited regularization properties. Thus, the solution does not enjoy arbitrary high regularity. This leads to difficulties in the numerical approximation. We propose a new numerical scheme based on the approximation of time averaged values of the (unknown) solution. Additionally, we provide a sampling algorithm to approximate the stochastic input. We verify optimal convergence of rate 1/2 in time and 1 in space. This is a joint work with Lars Diening (Bielefeld) and Martina Hofmanová (Bielefeld).

Wann?

15. Dezember 2022, 14:00-15:00

Wo?

S4|10 314
Dolivostr. 15
64293 Darmstadt

Veranstalter

AG Numerik und wissenschaftliches Rechnen

 

15
Dezember
2022
14:00-15:00

Tags

Mathematik, Numerik