Derui Sheng

According to our database1, Derui Sheng authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Asymptotic-preserving approximations for stochastic incompressible viscous fluids and SPDEs on graph.
CoRR, 2024

2023
Density convergence of a fully discrete finite difference method for stochastic Cahn-Hilliard equation.
Math. Comput., 2023

Error analysis of numerical methods on graded meshes for stochastic Volterra equations.
CoRR, 2023

Asymptotics of large deviations of finite difference method for stochastic Cahn-Hilliard equation.
CoRR, 2023

Exponential superiority in probability of stochastic symplectic methods for linear stochastic oscillator.
CoRR, 2023

2022
Density function of numerical solution of splitting AVF scheme for stochastic Langevin equation.
Math. Comput., 2022

Influence of numerical discretizations on hitting probabilities for linear stochastic parabolic systems.
J. Complex., 2022

Convergence analysis of one-point large deviations rate functions of numerical discretizations for stochastic wave equations with small noise.
CoRR, 2022

Well-posedness and Mittag-Leffler Euler integrator for space-time fractional SPDEs with fractionally integrated additive noise.
CoRR, 2022

Finite difference method for stochastic Cahn-Hilliard equation: Strong convergence rate and density convergence.
CoRR, 2022

Convergence analysis of a finite difference method for stochastic Cahn-Hilliard equation.
CoRR, 2022

Strong error analysis of Euler methods for overdamped generalized Langevin equations with fractional noise: Nonlinear case.
CoRR, 2022

2021
Influences of Numerical Discretizations on Hitting Probabilities for Linear Stochastic Parabolic System.
CoRR, 2021

Numerical approximations of one-point large deviations rate functions of stochastic differential equations with small noise.
CoRR, 2021

A splitting semi-implicit method for stochastic incompressible Euler equations on T<sup>2</sup>.
CoRR, 2021

2020
Numerically asymptotical preservation of the large deviations principles for invariant measures of Langevin equations.
CoRR, 2020

Convergence of Density Approximations for Stochastic Heat Equation.
CoRR, 2020

2019
Convergence in Density of Splitting AVF Scheme for Stochastic Langevin Equation.
CoRR, 2019


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