张利英｜中国矿业大学(北京)｜学者主页

期刊论文

2025

Two operator splitting methods for three-dimensional stochastic Maxwell equations with multiplicative noise

Liying Zhang, Xinyue Kang, Lihai Ji

arXiv.org

DOI

2025

Stochastic positivity-preserving symplectic splitting methods for stochastic Lotka-Volterra predator-prey model

Liying Zhang, Xinyue Kang, Lihai Ji

arXiv.org

DOI

2025

Wiener chaos expansion for stochastic Maxwell equations driven by Wiener process

Lihai Ji, Kuan Xue, Liying Zhang

arXiv.org

DOI

2025

Structure-Preserving Implicit Runge-Kutta Methods for Stochastic Poisson Systems with Multiple Noises

Liying Zhang, Fengling Xue, Li-Jin Wang

arXiv.org

DOI

2025

Parareal Algorithms for Stochastic Maxwell Equations Driven by Multiplicative Noise

Li-Ying Zhang, Qi Zhang, Li-Hai Ji

arXiv.org

DOI

2024

Parareal Algorithms for Stochastic Maxwell Equations with the Damping Term Driven by Additive Noise

Li-Ying Zhang

Journal of Computational Mathematics

DOI

2019

A Review on Stochastic Multi-symplectic Methods for Stochastic Maxwell Equations

Liying Zhang, Chuchu Chen, Jialin Hong, Lihai Ji

Communications on Applied Mathematics and Computation

DOI

2019

Parareal Exponential $\theta$-Scheme for Longtime Simulation of Stochastic Schrödinger Equations with Weak Damping

Jialin Hong, Xu An Wang, Liying Zhang

SIAM Journal on Scientific Computing

DOI

2018

Stochastic multi-symplectic Runge–Kutta methods for stochastic Hamiltonian PDEs

Liying Zhang, Lihai Ji

Applied Numerical Mathematics

DOI

2018

Parareal Algorithms Applied to Stochastic Differential Equations with Conserved Quantities

Liying Zhang, Weien Zhou, Lihai Ji

Journal of Computational Mathematics

DOI

2017

An energy-conserving method for stochastic Maxwell equations with multiplicative noise

Jialin Hong, Lihai Ji, Liying Zhang, Jiaxiang Cai

Journal of Computational Physics

DOI

2017

Numerical Analysis on Ergodic Limit of Approximations for Stochastic NLS Equation via Multi-symplectic Scheme

Jialin Hong, Xu An Wang, Liying Zhang

SIAM Journal on Numerical Analysis

DOI

2016

Projection methods for stochastic differential equations with conserved quantities

Weien Zhou, Liying Zhang, Jialin Hong, Songhe Song

BIT Numerical Mathematics

DOI

预印本

2026

Wave Breaking and Structure-Preserving Fully Discrete Method for Stochastic Camassa--Holm Equation with Additive Noise

Liying Sun, Zizhao Sun, Liying Zhang

arXiv preprint

2017

Convergence analysis of a symplectic semi-discretization for stochastic NLS equation with quadratic potential

Jialin Hong, Lijun Miao, Liying Zhang

arXiv preprint

2014

Multi-symplectic Preserving Integrator for the Schrödinger Equation with Wave Operator

Linghua Kong, Lan Wang, Liying Zhang

arXiv preprint

2014

Near Preservation of Quadratic Invariants by Stochastic Runge-Kutta Methods

Jialin Hong, Lijin Wang, Dongsheng Xu, Liying Zhang

arXiv preprint

2014

Preservation of Physical Properties of Stochastic Maxwell Equations with Additive Noise via Stochastic Multi-symplectic Methods

Chuchu Chen, Jialin Hong, Liying Zhang

arXiv preprint

张利英

精选作品

期刊论文

Two operator splitting methods for three-dimensional stochastic Maxwell equations with multiplicative noise

Stochastic positivity-preserving symplectic splitting methods for stochastic Lotka-Volterra predator-prey model

Wiener chaos expansion for stochastic Maxwell equations driven by Wiener process

Structure-Preserving Implicit Runge-Kutta Methods for Stochastic Poisson Systems with Multiple Noises

Parareal Algorithms for Stochastic Maxwell Equations Driven by Multiplicative Noise

Parareal Algorithms for Stochastic Maxwell Equations with the Damping Term Driven by Additive Noise

A Review on Stochastic Multi-symplectic Methods for Stochastic Maxwell Equations

Parareal Exponential $\theta$-Scheme for Longtime Simulation of Stochastic Schrödinger Equations with Weak Damping

Stochastic multi-symplectic Runge–Kutta methods for stochastic Hamiltonian PDEs

Parareal Algorithms Applied to Stochastic Differential Equations with Conserved Quantities

An energy-conserving method for stochastic Maxwell equations with multiplicative noise

Numerical Analysis on Ergodic Limit of Approximations for Stochastic NLS Equation via Multi-symplectic Scheme

Projection methods for stochastic differential equations with conserved quantities

预印本

Wave Breaking and Structure-Preserving Fully Discrete Method for Stochastic Camassa--Holm Equation with Additive Noise

Convergence analysis of a symplectic semi-discretization for stochastic NLS equation with quadratic potential

Multi-symplectic Preserving Integrator for the Schrödinger Equation with Wave Operator

Near Preservation of Quadratic Invariants by Stochastic Runge-Kutta Methods

Preservation of Physical Properties of Stochastic Maxwell Equations with Additive Noise via Stochastic Multi-symplectic Methods

研究方向