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Dive into the research topics where Fawang Liu is active.

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Featured researches published by Fawang Liu.


SIAM Journal on Numerical Analysis | 2008

New Solution and Analytical Techniques of the Implicit Numerical Method for the Anomalous Subdiffusion Equation

Pinghui Zhuang; Fawang Liu; Vo Anh; Ian Turner

A physical-mathematical approach to anomalous diffusion is based on a generalized diffusion equation containing derivatives of fractional order. In this paper, an anomalous subdiffusion equation (ASub-DE) is considered. A new implicit numerical method (INM) and two solution techniques for improving the order of convergence of the INM for solving the ASub-DE are proposed. The stability and convergence of the INM are investigated by the energy method. Some numerical examples are given. The numerical results demonstrate the effectiveness of theoretical analysis. These methods and supporting theoretical results can also be applied to other fractional integro-differential equations and higher-dimensional problems.


Journal of Computational Physics | 2007

A Fourier method for the fractional diffusion equation describing sub-diffusion

Chang-Ming Chen; Fawang Liu; Ian Turner; Vo Anh

In this paper, a fractional partial differential equation (FPDE) describing sub-diffusion is considered. An implicit difference approximation scheme (IDAS) for solving a FPDE is presented. We propose a Fourier method for analyzing the stability and convergence of the IDAS, derive the global accuracy of the IDAS, and discuss the solvability. Finally, numerical examples are given to compare with the exact solution for the order of convergence, and simulate the fractional dynamical systems.


SIAM Journal on Numerical Analysis | 2009

Numerical Methods for the Variable-Order Fractional Advection-Diffusion Equation with a Nonlinear Source Term

Pinghui Zhuang; Fawang Liu; Vo Anh; Ian Turner

In this paper, we consider a variable-order fractional advection-diffusion equation with a nonlinear source term on a finite domain. Explicit and implicit Euler approximations for the equation are proposed. Stability and convergence of the methods are discussed. Moveover, we also present a fractional method of lines, a matrix transfer technique, and an extrapolation method for the equation. Some numerical examples are given, and the results demonstrate the effectiveness of theoretical analysis.


Journal of Computational and Applied Mathematics | 2009

Numerical method and analytical technique of the modified anomalous subdiffusion equation with a nonlinear source term

Fawang Liu; C. Yang; Kevin Burrage

In this paper, we consider a modified anomalous subdiffusion equation with a nonlinear source term for describing processes that become less anomalous as time progresses by the inclusion of a second fractional time derivative acting on the diffusion term. A new implicit difference method is constructed. The stability and convergence are discussed using a new energy method. Finally, some numerical examples are given. The numerical results demonstrate the effectiveness of theoretical analysis.


Journal of Applied Mathematics and Computing | 2003

Time fractional advection-dispersion equation

Fawang Liu; Vo Anh; Ian Turner; Pinghui Zhuang

A time fractional advection-dispersion equation is obtained from the standard advection-dispersion equation by replacing the firstorder derivative in time by a fractional derivative in time of order α(0<α<-1). Using variable transformation, Mellin and Laplace transforms, and properties of H-functions, we derive the complete solution of this time fractional advection-dispersion equation.


Journal of Applied Mathematics and Computing | 2006

Implicit difference approximation for the time fractional diffusion equation

Pinghui Zhuang; Fawang Liu

In this paper, we consider a time fractional diffusion equation on a finite domain. The equation is obtained from the standard diffusion equation by replacing the first-order time derivative by a fractional derivative (of order 0 < α < 1 ). We propose a computationally effective implicit difference approximation to solve the time fractional diffusion equation. Stability and convergence of the method are discussed. We prove that the implicit difference approximation (IDA) is unconditionally stable, and the IDA is convergent withO(Τ +h2), where Τ andh are time and space steps, respectively. Some numerical examples are presented to show the application of the present technique.


SIAM Journal on Scientific Computing | 2013

The Use of Finite Difference/Element Approaches for Solving the Time-Fractional Subdiffusion Equation

Fanhai Zeng; Changpin Li; Fawang Liu; Ian Turner

In this paper, two finite difference/element approaches for the time-fractional subdiffusion equation with Dirichlet boundary conditions are developed, in which the time direction is approximated by the fractional linear multistep method and the space direction is approximated by the finite element method. The two methods are unconditionally stable and convergent of order


SIAM Journal on Scientific Computing | 2010

Numerical Schemes with High Spatial Accuracy for a Variable-Order Anomalous Subdiffusion Equation

Chang-Ming Chen; Fawang Liu; Vo Anh; Ian Turner

O(\tau^q+h^{r+1})


Fractional Calculus and Applied Analysis | 2013

NUMERICAL METHODS FOR SOLVING THE MULTI-TERM TIME-FRACTIONAL WAVE-DIFFUSION EQUATION

Fawang Liu; Mark M. Meerschaert; Robert J. McGough; Pinghui Zhuang; Qingxia Liu

in the


SIAM Journal on Scientific Computing | 2011

Novel Numerical Methods for Solving the Time-Space Fractional Diffusion Equation in Two Dimensions

Qianqian Yang; Ian Turner; Fawang Liu; Milos Ilic

L^2

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Ian Turner

Queensland University of Technology

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Vo Anh

Queensland University of Technology

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Kevin Burrage

Queensland University of Technology

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Liancun Zheng

University of Science and Technology Beijing

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Qianqian Yang

Queensland University of Technology

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Qiang Yu

Queensland University of Technology

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Lin Liu

University of Science and Technology Beijing

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