research
∙
07/17/2023
Weak approximation for stochastic Reaction-diffusion equation near sharp interface limit
It is known that when the diffuse interface thickness ϵ vanishes, the sh...
share
research
∙
05/09/2023
Novel structure-preserving schemes for stochastic Klein–Gordon–Schrödinger equations with additive noise
Stochastic Klein–Gordon–Schrödinger (KGS) equations are important mathem...
research
∙
08/29/2022
Semi-implicit energy-preserving numerical schemes for stochastic wave equation via SAV approach
In this paper, we propose and analyze semi-implicit numerical schemes fo...
research
∙
01/20/2022
Three kinds of novel multi-symplectic methods for stochastic Hamiltonian partial differential equations
Stochastic Hamiltonian partial differential equations, which possess the...
research
∙
11/08/2021
Structure-preserving splitting methods for stochastic logarithmic Schrödinger equation via regularized energy approximation
In this paper, we study two kinds of structure-preserving splitting meth...
research
∙
05/31/2021
Energy-preserving fully-discrete schemes for nonlinear stochastic wave equations with multiplicative noise
In this paper, we focus on constructing numerical schemes preserving the...
research
∙
09/28/2020
Numerically asymptotical preservation of the large deviations principles for invariant measures of Langevin equations
In this paper, we focus on two kinds of large deviations principles (LDP...
research
∙
06/06/2020
Structure-preserving numerical methods for stochastic Poisson systems
We propose a class of numerical integration methods for stochastic Poiss...
research
∙
06/02/2020
Large deviations principles for symplectic discretizations of stochastic linear Schrödinger Equation
In this paper, we consider the large deviations principles (LDPs) for th...
research
∙
09/02/2019