Diancong Jin

According to our database1, Diancong Jin authored at least 14 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Asymptotic error distribution of accelerated exponential Euler method for parabolic SPDEs.
CoRR, 2024

Density functions for the overdamped generalized Langevin equation and its Euler-Maruyama method: smoothness and convergence.
CoRR, 2024

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

Central limit theorem for temporal average of backward Euler-Maruyama method.
CoRR, 2023

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

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

2021
Asymptotically-Preserving Large Deviations Principles by Stochastic Symplectic Methods for a Linear Stochastic Oscillator.
SIAM J. Numer. Anal., 2021

Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs.
CoRR, 2021

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

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

Large deviations principles for symplectic discretizations of stochastic linear Schrödinger Equation.
CoRR, 2020

2019
The superiority of stochastic symplectic methods for a linear stochastic oscillator via large deviations principles.
CoRR, 2019


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