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20152023
most citedStrong Approximation of Stochastic Allen-Cahn Equation with White Noise

68 citations · 316 across the 16 of their papers we have counts for

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11 papers · 1 filter

math.NA2023★ 4 cited

Numerical Ergodicity and Uniform Estimate of Monotone SPDEs Driven by Multiplicative Noise

Zhihui Liu

We analyze the long-time behavior of numerical schemes for a class of monotone stochastic partial differential equations (SPDEs) driven by multiplicative noise. By deriving several…

math.NA2021★ 8 cited

-Convergence Rate of Backward Euler Schemes for Monotone SDEs

Zhihui Liu

We give a unified method to derive the strong convergence rate of the backward Euler scheme for monotone SDEs in -norm, with general . The results are applied to t…

math.NA2018★ 19 cited

Strong Approximation of Monotone Stochastic Partial Differential Equations Driven by Multiplicative Noise

Zhihui Liu, Zhonghua Qiao

We establish a general theory of optimal strong error estimation for numerical approximations of a second-order parabolic stochastic partial differential equation with monotone dri…

math.NA2018

Strong convergence of numerical discretizations for semilinear stochastic evolution equations driven by multiplicative white noise

Jialin Hong, Chuying Huang, Zhihui Liu

For semilinear stochastic evolution equations whose coefficients are more general than the classical global Lipschitz, we present results on the strong convergence rates of numeric…

math.NA2018★ 68 cited

Strong Approximation of Stochastic Allen-Cahn Equation with White Noise

Zhihui Liu, Zhonghua Qiao

We establish an optimal strong convergence rate of a fully discrete numerical scheme for second order parabolic stochastic partial differential equations with monotone drifts, incl…

math.NA2017★ 63 cited

Strong Convergence Rate of Splitting Schemes for Stochastic Nonlinear Schrödinger Equations

Jianbo Cui, Jialin Hong, Zhihui Liu +1

We prove the optimal strong convergence rate of a fully discrete scheme, based on a splitting approach, for a stochastic nonlinear Schrödinger (NLS) equation. The main novelty of o…

math.NA2016★ 25 cited

Optimal Error Estimates of Conservative Local Discontinuous Galerkin Method for Nonlinear Schrödinger Equation

Jialin Hong, Lihai Ji, Zhihui Liu

In this paper, we propose a conservative local discontinuous Galerkin method for one-dimensional nonlinear Schrödinger equation. By using special upwind-biased numerical fluxes, we…

math.NA2016★ 4 cited

Stochastic Symplectic and Multi-Symplectic Methods for Nonlinear Schrödinger Equation with White Noise Dispersion

Jianbo Cui, Jialin Hong, Zhihui Liu +1

We indicate that the nonlinear Schrödinger equation with white noise dispersion possesses stochastic symplectic and multi-symplectic structures. Based on these structures, we propo…

math.NA2016★ 49 cited

Approximating Stochastic Evolution Equations with Additive White and Rough Noises

Yanzhao Cao, Jialin Hong, Zhihui Liu

In this paper, we analyze Galerkin approximations for stochastic evolution equations driven by an additive Gaussian noise which is temporally white and spatially fractional with Hu…

math.NA2015★ 13 cited

Well-posedness and Finite Element Approximations for Elliptic SPDEs with Gaussian Noises

Yanzhao Cao, Jialin Hong, Zhihui Liu

The paper studies the well-posedness and optimal error estimates of spectral finite element approximations for the boundary value problems of semi-linear elliptic SPDEs driven by w…

math.NA2015★ 35 cited

Finite element approximations for second order stochastic differential equation driven by fractional Brownian motion

Yanzhao Cao, Jialin Hong, Zhihui Liu

We consider finite element approximations for a one dimensional second order stochastic differential equation of boundary value type driven by a fractional Brownian motion with Hur…