Jialin Hong

According to our database1, Jialin Hong authored at least 78 papers between 2000 and 2024.

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

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Bibliography

2024
Novel structure-preserving schemes for stochastic Klein-Gordon-Schrödinger equations with additive noise.
J. Comput. Phys., March, 2024

Long-time weak convergence analysis of a semi-discrete scheme for stochastic Maxwell equations.
CoRR, 2024

Long-time dynamics of stochastic wave equation with dissipative damping and its full discretization: exponential ergodicity and strong law of large numbers.
CoRR, 2024

2023
Probabilistic limit behaviors of numerical discretizations for time-homogeneous Markov processes.
CoRR, 2023

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

Energy-preserving fully-discrete schemes for nonlinear stochastic wave equations with multiplicative noise.
J. Comput. Phys., 2022

Three kinds of novel multi-symplectic methods for stochastic Hamiltonian partial differential equations.
J. Comput. Phys., 2022

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

An adaptive time-stepping fully discrete scheme for stochastic NLS equation: Strong convergence and numerical asymptotics.
CoRR, 2022

Ergodic numerical approximations for stochastic Maxwell equations.
CoRR, 2022

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

Semi-implicit energy-preserving numerical schemes for stochastic wave equation via SAV approach.
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

Central limit theorem for full discretization of parabolic SPDE.
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
Strong Convergence of Full Discretization for Stochastic Cahn-Hilliard Equation Driven by Additive Noise.
SIAM J. Numer. Anal., 2021

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

Structure-preserving splitting methods for stochastic logarithmic Schrödinger equation via regularized energy approximation.
CoRR, 2021

An adaptive time-stepping full discretization for stochastic Allen-Cahn equation.
CoRR, 2021

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

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

Weak intermittency and second moment bound of a fully discrete scheme for stochastic heat equation.
CoRR, 2021

A new efficient operator splitting method for stochastic Maxwell equations.
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
Exponential integrators for stochastic Maxwell's equations driven by Itô noise.
J. Comput. Phys., 2020

Energy and quadratic invariants preserving (EQUIP) multi-symplectic methods for Hamiltonian wave equations.
J. Comput. Phys., 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

Super-convergence analysis on exponential integrator for stochastic heat equation driven by additive fractional Brownian motion.
CoRR, 2020

Structure-preserving numerical methods for stochastic Poisson systems.
CoRR, 2020

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

2019
Dynamic Evaluation of Exponential Polynomial Curves and Surfaces via Basis Transformation.
SIAM J. Sci. Comput., 2019

Parareal Exponential θ-Scheme for Longtime Simulation of Stochastic Schrödinger Equations with Weak Damping.
SIAM J. Sci. Comput., 2019

Strong and Weak Convergence Rates of a Spatial Approximation for Stochastic Partial Differential Equation with One-sided Lipschitz Coefficient.
SIAM J. Numer. Anal., 2019

Mean-Square Convergence of a Semidiscrete Scheme for Stochastic Maxwell Equations.
SIAM J. Numer. Anal., 2019

Runge-Kutta Semidiscretizations for Stochastic Maxwell Equations with Additive Noise.
SIAM J. Numer. Anal., 2019

Strong convergence of a full discretization for stochastic wave equation with polynomial nonlinearity and addditive noise.
CoRR, 2019

Analysis of a full discretization of stochastic Cahn-Hilliard equation with unbounded noise diffusion.
CoRR, 2019

Energy-preserving multi-symplectic Runge-Kutta methods for Hamiltonian wave equations.
CoRR, 2019

Stochastic modified equations for symplectic methods applied to rough Hamiltonian systems based on the Wong-Zakai approximation.
CoRR, 2019

Approximation of Invariant Measures for Stochastic Differential Equations with Piecewise Continuous Arguments via Backward Euler Method.
CoRR, 2019

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

2018
Analysis of a Splitting Scheme for Damped Stochastic Nonlinear Schrödinger Equation with Multiplicative Noise.
SIAM J. Numer. Anal., 2018

2017
Dynamic Evaluation of Free-Form Curves and Surfaces.
SIAM J. Sci. Comput., 2017

Numerical Analysis on Ergodic Limit of Approximations for Stochastic NLS Equation via Multi-symplectic Scheme.
SIAM J. Numer. Anal., 2017

High Order Conformal Symplectic and Ergodic Schemes for the Stochastic Langevin Equation via Generating Functions.
SIAM J. Numer. Anal., 2017

Approximating Stochastic Evolution Equations with Additive White and Rough Noises.
SIAM J. Numer. Anal., 2017

An energy-conserving method for stochastic Maxwell equations with multiplicative noise.
J. Comput. Phys., 2017

Stochastic symplectic and multi-symplectic methods for nonlinear Schrödinger equation with white noise dispersion.
J. Comput. Phys., 2017

Stochastic symplectic Runge-Kutta methods for the strong approximation of Hamiltonian systems with additive noise.
J. Comput. Appl. Math., 2017

2016
Symplectic Runge-Kutta Semidiscretization for Stochastic Schrödinger Equation.
SIAM J. Numer. Anal., 2016

Preservation of physical properties of stochastic Maxwell equations with additive noise via stochastic multi-symplectic methods.
J. Comput. Phys., 2016

2015
Two Energy-Conserved Splitting Methods for Three-Dimensional Time-Domain Maxwell's Equations and the Convergence Analysis.
SIAM J. Numer. Anal., 2015

2014
A stochastic multi-symplectic scheme for stochastic Maxwell equations with additive noise.
J. Comput. Phys., 2014

Energy-dissipation splitting finite-difference time-domain method for Maxwell equations with perfectly matched layers.
J. Comput. Phys., 2014

2013
Solvability of concatenated Runge-Kutta equations for second-order nonlinear PDEs.
J. Comput. Appl. Math., 2013

2011
Discrete Gradient Approach to Stochastic Differential Equations with a Conserved Quantity.
SIAM J. Numer. Anal., 2011

Symplectic structure-preserving integrators for the two-dimensional Gross-Pitaevskii equation for BEC.
J. Comput. Appl. Math., 2011

High-order compact splitting multisymplectic method for the coupled nonlinear Schrödinger equations.
Comput. Math. Appl., 2011

2010
Splitting multisymplectic integrators for Maxwell's equations.
J. Comput. Phys., 2010

2009
Accuracy of classical conservation laws for Hamiltonian PDEs under Runge-Kutta discretizations.
Numerische Mathematik, 2009

Explicit multi-symplectic methods for Klein-Gordon-Schrödinger equations.
J. Comput. Phys., 2009

Symplectic integrator for nonlinear high order Schrödinger equation with a trapped term.
J. Comput. Appl. Math., 2009

2008
Generating functions of multi-symplectic RK methods via DW Hamilton-Jacobi equations.
Numerische Mathematik, 2008

2007
Predictor-corrector methods for a linear stochastic oscillator with additive noise.
Math. Comput. Model., 2007

Multi-symplectic Runge-Kutta-Nyström methods for nonlinear Schrödinger equations with variable coefficients.
J. Comput. Phys., 2007

Existence of psi-bounded solutions for linear difference equations.
Appl. Math. Lett., 2007

2006
The multi-symplecticity of partitioned Runge-Kutta methods for Hamiltonian PDEs.
Math. Comput., 2006

2005
The Computation of Lyapunov Exponents for Periodic Trajectories.
Int. J. Bifurc. Chaos, 2005

2003
A novel numerical approach to simulating nonlinear Schro"dinger equations with varying coefficients.
Appl. Math. Lett., 2003

2002
Multisymplecticity of the centred box discretization for hamiltonian PDEs with m >= 2 space dimensions.
Appl. Math. Lett., 2002

2000
Symplectic integrations of inear discontinuous hamiltonian systems and an application to the numerical simulation of bounded solutions.
Neural Parallel Sci. Comput., 2000

Almost periodic type solutions of differential equations with piecewise constant argument via almost periodic type sequences.
Appl. Math. Lett., 2000


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