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Diancong Jin
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 13
Top Topics
Convergence Analysis
Differential Equations
Finite Difference
Large Deviations
Top Venues
CoRR
SIAM J. Numer. Anal.
Math. Comput.
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Publications
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Xinjie Dai
,
Diancong Jin
Density functions for the overdamped generalized Langevin equation and its Euler-Maruyama method: smoothness and convergence.
CoRR
(2024)
Jialin Hong
,
Diancong Jin
,
Derui Sheng
Density convergence of a fully discrete finite difference method for stochastic Cahn-Hilliard equation.
Math. Comput.
93 (349) (2023)
Diancong Jin
Central limit theorem for temporal average of backward Euler-Maruyama method.
CoRR
(2023)
Diancong Jin
,
Derui Sheng
Asymptotics of large deviations of finite difference method for stochastic Cahn-Hilliard equation.
CoRR
(2023)
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
(2022)
Jialin Hong
,
Diancong Jin
,
Derui Sheng
Finite difference method for stochastic Cahn-Hilliard equation: Strong convergence rate and density convergence.
CoRR
(2022)
Jialin Hong
,
Diancong Jin
,
Derui Sheng
Convergence analysis of a finite difference method for stochastic Cahn-Hilliard equation.
CoRR
(2022)
Chuchu Chen
,
Jialin Hong
,
Diancong Jin
,
Liying Sun
Asymptotically-Preserving Large Deviations Principles by Stochastic Symplectic Methods for a Linear Stochastic Oscillator.
SIAM J. Numer. Anal.
59 (1) (2021)
Chuchu Chen
,
Ziheng Chen
,
Jialin Hong
,
Diancong Jin
Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs.
CoRR
(2021)
Jialin Hong
,
Diancong Jin
,
Derui Sheng
Numerical approximations of one-point large deviations rate functions of stochastic differential equations with small noise.
CoRR
(2021)
Jialin Hong
,
Diancong Jin
,
Derui Sheng
,
Liying Sun
Numerically asymptotical preservation of the large deviations principles for invariant measures of Langevin equations.
CoRR
(2020)
Chuchu Chen
,
Jialin Hong
,
Diancong Jin
,
Liying Sun
Large deviations principles for symplectic discretizations of stochastic linear Schrödinger Equation.
CoRR
(2020)
Chuchu Chen
,
Jialin Hong
,
Diancong Jin
,
Liying Sun
The superiority of stochastic symplectic methods for a linear stochastic oscillator via large deviations principles.
CoRR
(2019)