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Dive into the research topics where Pin Lyu is active.

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Featured researches published by Pin Lyu.


Numerical Algorithms | 2016

High order finite difference method for time-space fractional differential equations with Caputo and Riemann-Liouville derivatives

Seakweng Vong; Pin Lyu; Xu Chen; Siu-Long Lei

We consider high order finite difference methods for two-dimensional fractional differential equations with temporal Caputo and spatial Riemann-Liouville derivatives in this paper. We propose a scheme and show that it converges with second order in time and fourth order in space. The accuracy of our proposed method can be improved by Richardson extrapolation. Approximate solution is obtained by the generalized minimal residual (GMRES) method. A preconditioner is proposed to improve the efficiency for the implementation of the GMRES method.


Journal of Scientific Computing | 2016

A Compact Difference Scheme for Fractional Sub-diffusion Equations with the Spatially Variable Coefficient Under Neumann Boundary Conditions

Seakweng Vong; Pin Lyu; Zhibo Wang

In this paper, a compact finite difference scheme with global convergence order


Numerical Algorithms | 2017

Stability of fully discrete schemes with interpolation-type fractional formulas for distributed-order subdiffusion equations

Hong-lin Liao; Pin Lyu; Seakweng Vong; Ying Zhao


Numerical Algorithms | 2018

A linearized second-order scheme for nonlinear time fractional Klein-Gordon type equations

Pin Lyu; Seakweng Vong

O\big (\tau ^{2-\alpha }+h^4\big )


Journal of Scientific Computing | 2018

Unconditional Convergence in Maximum-Norm of a Second-Order Linearized Scheme for a Time-Fractional Burgers-Type Equation

Seakweng Vong; Pin Lyu


International Journal of Computer Mathematics | 2018

Second-order BDF time approximation for Riesz space-fractional diffusion equations

Hong-lin Liao; Pin Lyu; Seakweng Vong

O(τ2-α+h4) is derived for fractional sub-diffusion equations with the spatially variable coefficient subject to Neumann boundary conditions. The difficulty caused by the variable coefficient and the Neumann boundary conditions is overcome by subtle decomposition of the coefficient matrices. The stability and convergence of the proposed scheme are studied using its matrix form by the energy method. The theoretical results are supported by numerical experiments.


Applied Mathematics Letters | 2018

A linearized second-order finite difference scheme for time fractional generalized BBM equation

Pin Lyu; Seakweng Vong

Two fully discrete methods are investigated for simulating the distributed-order sub-diffusion equation in Caputo’s form. The fractional Caputo derivative is approximated by the Caputo’s BDF1 (called L1 early) and BDF2 (or L1-2 when it was first introduced) approximations, which are constructed by piecewise linear and quadratic interpolating polynomials, respectively. It is shown that the first scheme, using the BDF1 formula, possesses the discrete minimum-maximum principle and nonnegativity preservation property such that it is stable and convergent in the maximum norm. The method using the BDF2 formula is shown to be stable and convergent in the discrete H1 norm by using the discrete energy method. For problems of distributed order within a certain region, the method is also proven to preserve the discrete maximum principle and nonnegativity property. Extensive numerical experiments are provided to show the effectiveness of numerical schemes, and to examine the initial singularity of the solution. The applicability of our numerical algorithms to a problem with solution which lacks the smoothness near the initial time is examined by employing a class of power-type nonuniform meshes.


Applied Mathematics Letters | 2017

On numerical contour integral method for fractional diffusion equations with variable coefficients

Seakweng Vong; Pin Lyu

We consider difference schemes for nonlinear time fractional Klein-Gordon type equations in this paper. A linearized scheme is proposed to solve the problem. As a result, iterative method need not be employed. One of the main difficulties for the analysis is that certain weight averages of the approximated solutions are considered in the discretization and standard energy estimates cannot be applied directly. By introducing a new grid function, which further approximates the solution, and using ideas in some recent studies, we show that the method converges with second-order accuracy in time.


Numerical Methods for Partial Differential Equations | 2018

A study on a second order finite difference scheme for fractional advection-diffusion equations

Seakweng Vong; Chenyang Shi; Pin Lyu

We study linearized finite difference scheme for a time-fractional Burgers-type equation in this paper. A linearized scheme with second-order accuracy in time and space is proposed. The advantage of the scheme is that iterative method is not required for finding the approximated solutions. Nonlinearity involving derivatives causes difficulties in analysis. By refined estimates of our previous study, we show that the scheme unconditionally converges with second-order in maximum-norm. The theoretical results are justified by numerical tests.


Numerical Methods for Partial Differential Equations | 2018

A linearized and second-order unconditionally convergent scheme for coupled time fractional Klein-Gordon-Schrödinger equation

Pin Lyu; Seakweng Vong

ABSTRACT Second-order backward difference formula (BDF2) is considered for time approximation of Riesz space-fractional diffusion equations. The Riesz space derivative is approximated by the second-order fractional centre difference formula. To improve the computational efficiency, an alternating directional implicit scheme is also proposed for solving two-dimensional space-fractional diffusion problems. Numerical experiments are provided to verify our theory and to show the effectiveness of numerical algorithms.

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Hong-lin Liao

University of Science and Technology

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Ying Zhao

University of Science and Technology

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