Daxin Nie

According to our database, Daxin Nie authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Numerical methods for forward fractional Feynman-Kac equation.

Daxin Nie, Jing Sun, Weihua Deng

Adv. Comput. Math., June, 2024

2023

An Efficient Numerical Algorithm for the Model Describing the Competition Between Super- and Sub-diffusions Driven by Fractional Brownian Sheet Noise.

Jing Sun, Daxin Nie, Weihua Deng

J. Sci. Comput., July, 2023

Sharp error estimates for spatial-temporal finite difference approximations to fractional sub-diffusion equation without regularity assumption on the exact solution.

Daxin Nie, Jing Sun, Weihua Deng

CoRR, 2023

2022

Strong Convergence Order for the Scheme of Fractional Diffusion Equation Driven by Fractional Gaussian Noise.

Daxin Nie, Jing Sun, Weihua Deng

SIAM J. Numer. Anal., August, 2022

A Unified Convergence Analysis for the Fractional Diffusion Equation Driven by Fractional Gaussian Noise with Hurst Index $H\in(0,1)$.

Daxin Nie, Weihua Deng

SIAM J. Numer. Anal., June, 2022

Numerical Approximations for the Fractional Fokker-Planck Equation with Two-Scale Diffusion.

Jing Sun, Weihua Deng, Daxin Nie

J. Sci. Comput., 2022

Optimal convergence for the regularized solution of the model describing the competition between super- and sub- diffusions driven by fractional Brownian sheet noise.

Jing Sun, Daxin Nie, Weihua Deng

CoRR, 2022

Numerical Approximation for Stochastic Nonlinear Fractional Diffusion Equation Driven by Rough Noise.

Daxin Nie, Jing Sun, Weihua Deng

CoRR, 2022

2021

Regularity theory and numerical algorithm for the fractional Klein-Kramers equation.

Jing Sun, Daxin Nie, Weihua Deng

CoRR, 2021

An inverse random source problem for the time-space fractional diffusion equation driven by fractional Brownian motion.

Daxin Nie, Weihua Deng

CoRR, 2021

A unified convergence analysis for the fractional diffusion equation driven by fractional Gaussion noise with Hurst index H∈(0, 1).

Daxin Nie, Weihua Deng

CoRR, 2021

Finite difference method for inhomogeneous fractional Dirichlet problem.

Jing Sun, Weihua Deng, Daxin Nie

CoRR, 2021

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

Daxin Nie, Weihua Deng

CoRR, 2021

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

Daxin Nie, Weihua Deng

Comput. Math. Appl., 2021

2020

Numerical algorithm for the space-time fractional Fokker-Planck system with two internal states.

Daxin Nie, Jing Sun, Weihua Deng

Numerische Mathematik, 2020

Error Estimates for Backward Fractional Feynman-Kac Equation with Non-Smooth Initial Data.

Jing Sun, Daxin Nie, Weihua Deng

J. Sci. Comput., 2020

Numerical Scheme for the Fokker-Planck Equations Describing Anomalous Diffusions with Two Internal States.

Daxin Nie, Jing Sun, Weihua Deng

J. Sci. Comput., 2020

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

Daxin Nie, Jing Sun, Weihua Deng

CoRR, 2020

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

Jing Sun, Daxin Nie, Weihua Deng

CoRR, 2020

2019

Numerical Algorithms of the Two-dimensional Feynman-Kac Equation for Reaction and Diffusion Processes.

Daxin Nie, Jing Sun, Weihua Deng

J. Sci. Comput., 2019

A new threshold changeable secret sharing scheme based on the Chinese Remainder Theorem.

Xingxing Jia, Daoshun Wang, Daxin Nie, Xiangyang Luo, Jonathan Zheng Sun

Inf. Sci., 2019

Numerical algorithm for the model describing anomalous diffusion in expanding media.

Daxin Nie, Jing Sun, Weihua Deng

CoRR, 2019

Central local discontinuous Galerkin method for the space fractional diffusion equation.

Jing Sun, Daxin Nie, Weihua Deng

Comput. Math. Appl., 2019

2018

Collaborative Visual Cryptography Schemes.

Xingxing Jia, Daoshun Wang, Daxin Nie, Chaoyang Zhang

IEEE Trans. Circuits Syst. Video Technol., 2018