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2020 – today
- 2024
[i15]Jianbo Cui, Derui Sheng:
Asymptotic-preserving approximations for stochastic incompressible viscous fluids and SPDEs on graph. CoRR abs/2404.09168 (2024)- 2023
- [j3]Jialin Hong, Diancong Jin, Derui Sheng:
Density convergence of a fully discrete finite difference method for stochastic Cahn-Hilliard equation. Math. Comput. 93(349): 2215-2264 (2023) - [i14]Jialin Hong, Ge Liang, Derui Sheng:
Exponential superiority in probability of stochastic symplectic methods for linear stochastic oscillator. CoRR abs/2304.01602 (2023) - [i13]Diancong Jin, Derui Sheng:
Asymptotics of large deviations of finite difference method for stochastic Cahn-Hilliard equation. CoRR abs/2304.11916 (2023) - [i12]Xinjie Dai
, Jialin Hong, Derui Sheng:
Error analysis of numerical methods on graded meshes for stochastic Volterra equations. CoRR abs/2308.16696 (2023) - 2022
- [j2]Chuchu Chen, Jialin Hong, Derui Sheng:
Influence of numerical discretizations on hitting probabilities for linear stochastic parabolic systems. J. Complex. 70: 101634 (2022) - [j1]Jianbo Cui, Jialin Hong, Derui Sheng:
Density function of numerical solution of splitting AVF scheme for stochastic Langevin equation. Math. Comput. 91(337): 2283-2333 (2022) - [i11]Xinjie Dai, Jialin Hong, Derui Sheng, Tau Zhou:
Strong error analysis of Euler methods for overdamped generalized Langevin equations with fractional noise: Nonlinear case. CoRR abs/2201.07592 (2022) - [i10]Jialin Hong, Diancong Jin, Derui Sheng:
Convergence analysis of a finite difference method for stochastic Cahn-Hilliard equation. CoRR abs/2202.09055 (2022) - [i9]Jialin Hong, Diancong Jin, Derui Sheng:
Finite difference method for stochastic Cahn-Hilliard equation: Strong convergence rate and density convergence. CoRR abs/2203.00571 (2022) - [i8]Xinjie Dai, Jialin Hong, Derui Sheng:
Well-posedness and Mittag-Leffler Euler integrator for space-time fractional SPDEs with fractionally integrated additive noise. CoRR abs/2206.00320 (2022) - [i7]Diancong Jin, Jialin Hong, Derui Sheng:
Convergence analysis of one-point large deviations rate functions of numerical discretizations for stochastic wave equations with small noise. CoRR abs/2209.08341 (2022) - 2021
- [i6]Jialin Hong, Derui Sheng, Tau Zhou:
A splitting semi-implicit method for stochastic incompressible Euler equations on T2. CoRR abs/2102.01482 (2021) - [i5]Jialin Hong, Diancong Jin, Derui Sheng:
Numerical approximations of one-point large deviations rate functions of stochastic differential equations with small noise. CoRR abs/2102.04061 (2021) - [i4]Chuchu Chen, Jialin Hong, Derui Sheng:
Influences of Numerical Discretizations on Hitting Probabilities for Linear Stochastic Parabolic System. CoRR abs/2104.05466 (2021) - 2020
- [i3]Chuchu Chen, Jianbo Cui, Jialin Hong, Derui Sheng:
Convergence of Density Approximations for Stochastic Heat Equation. CoRR abs/2007.12960 (2020) - [i2]Jialin Hong, Diancong Jin, Derui Sheng, Liying Sun:
Numerically asymptotical preservation of the large deviations principles for invariant measures of Langevin equations. CoRR abs/2009.13336 (2020)
2010 – 2019
- 2019
- [i1]Jianbo Cui, Jialin Hong, Derui Sheng:
Convergence in Density of Splitting AVF Scheme for Stochastic Langevin Equation. CoRR abs/1906.03439 (2019)
Coauthor Index
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