Finite Element Methods for Nonlinear Backward Stochastic Partial Differential Equations and Their Error Estimates
Abstract
In this paper, we consider numerical approximation of a class of nonlinear backward stochastic partial differential equations (BSPDEs). By using finite element methods in the physical space domain and the Euler method in the time domain, we propose a spatial finite element semi-discrete scheme and a spatio-temporal full discrete scheme for solving the BSPDEs. Errors of the schemes are rigorously analyzed and theoretical error estimates with convergence rates are obtained.
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How to Cite
[1]
2021. Finite Element Methods for Nonlinear Backward Stochastic Partial Differential Equations and Their Error Estimates. Advances in Applied Mathematics and Mechanics. 12, 6 (July 2021), 1457–1480. DOI:https://doi.org/10.4208/aamm.OA-2019-0345.