activity
20052021
most citedA Class of Second Order Difference Approximation for Solving Space Fractional Diffusion Equations

659 citations · 2.4k across the 64 of their papers we have counts for

collaborators
Showing math.NAShow all

48 papers · 1 filter

math.NA2021

A unified convergence analysis for the fractional diffusion equation driven by fractional Gaussion noise with Hurst index

Daxin Nie, Weihua Deng

Here, we provide a unified framework for numerical analysis of stochastic nonlinear fractional diffusion equation driven by fractional Gaussian noise with Hurst index .…

math.NA2021★ 2 cited

Finite difference method for inhomogeneous fractional Dirichlet problem

Jing Sun, Weihua Deng, Daxin Nie

We make the split of the integral fractional Laplacian as , where . Based on this splitting, we respectively discr…

math.NA2021

Local discontinuous Galerkin method for the fractional diffusion equation with integral fractional Laplacian

Daxin Nie, Weihua Deng

In this paper, we provide a framework of designing the local discontinuous Galerkin scheme for integral fractional Laplacian with in two dimensions. We theor…

math.NA2021★ 1 cited

Numerical analysis for stochastic time-space fractional diffusion equation driven by fractional Gaussion noise

Daxin Nie, Weihua Deng

In this paper, we consider the strong convergence of the time-space fractional diffusion equation driven by fractional Gaussion noise with Hurst index . A shar…

math.NA2020★ 2 cited

Strong convergence order for the scheme of fractional diffusion equation driven by fractional Gaussion noise

Daxin Nie, Jing Sun, Weihua Deng

Fractional Gaussian noise models the time series with long-range dependence; when the Hurst index , it has positive correlation reflecting a persistent autocorrelation struc…

math.NA2020★ 7 cited

High-order BDF fully discrete scheme for backward fractional Feynman-Kac equation with nonsmooth data

Jing Sun, Daxin Nie, Weihua Deng

The Feynman-Kac equation governs the distribution of the statistical observable -- functional, having wide applications in almost all disciplines. After overcoming challenges from…