Strong convergence for explicit space–time discrete numerical approximation methods for stochastic Burgers equations
Author:
Funder
ETH
Swiss National Science Foundation
Publisher
Elsevier BV
Subject
Applied Mathematics,Analysis
Reference50 articles.
1. Strong convergence rates for nonlinearity-truncated Euler-type approximations of stochastic Ginzburg–Landau equations;Becker;Stochastic Process. Appl.,2018
2. Galerkin approximations for the stochastic Burgers equation;Blömker;SIAM J. Numer. Anal.,2013
3. Finite-element-based discretizations of the incompressible Navier–Stokes equations with multiplicative random forcing;Brzeźniak;IMA J. Numer. Anal.,2013
4. Infinite-dimensional quadrature and approximation of distributions;Creutzig;Found. Comput. Math.,2009
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