期刊文献+

EFFICIENT NUMERICAL ALGORITHMS FOR THREE-DIMENSIONAL FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS 被引量:3

EFFICIENT NUMERICAL ALGORITHMS FOR THREE-DIMENSIONAL FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS
原文传递
导出
摘要 This paper detailedly discusses the locally one-dimensional numerical methods for ef- ficiently solving the three-dimensional fractional partial differential equations, including fractional advection diffusion equation and Riesz fractional diffusion equation. The second order finite difference scheme is used to discretize the space fractional derivative and the Crank-Nicolson procedure to the time derivative. We theoretically prove and numerically verify that the presented numerical methods are unconditionally stable and second order convergent in both space and time directions. In particular, for the Riesz fractional dif- fusion equation, the idea of reducing the splitting error is used to further improve the algorithm, and the unconditional stability and convergency are also strictly proved and numerically verified for the improved scheme. This paper detailedly discusses the locally one-dimensional numerical methods for ef- ficiently solving the three-dimensional fractional partial differential equations, including fractional advection diffusion equation and Riesz fractional diffusion equation. The second order finite difference scheme is used to discretize the space fractional derivative and the Crank-Nicolson procedure to the time derivative. We theoretically prove and numerically verify that the presented numerical methods are unconditionally stable and second order convergent in both space and time directions. In particular, for the Riesz fractional dif- fusion equation, the idea of reducing the splitting error is used to further improve the algorithm, and the unconditional stability and convergency are also strictly proved and numerically verified for the improved scheme.
出处 《Journal of Computational Mathematics》 SCIE CSCD 2014年第4期371-391,共21页 计算数学(英文)
关键词 Fractional partial differential equations Numerical stability Locally one dimensional method Crank-Nicolson procedure Alternating direction implicit method. Fractional partial differential equations, Numerical stability, Locally one dimensional method, Crank-Nicolson procedure, Alternating direction implicit method.
  • 相关文献

参考文献22

  • 1M.H. Chen, W.H. Deng, A second-order numerical method for two-dimensional two-sided space fractional convection diffusion equation, Appl. Math. Model., DOI:1O.1016/j.apm.2013.11.043.
  • 2S. Chen, F. Liu, P. Zhuang, and V. Anh, Finite difference approximations for the fractional Fokker-Planck equation, Appl. Math. Model., 33:1 (2009), 256-273.
  • 3W.H. Deng, Numerical algorithm for the time fractional Fokker-Planck equation, J. Comput. Phys., 227 (2007), 1510-1522.
  • 4W.H. Deng, Finite element method for the space and time fractional Fokker-Planck equation, SIAM J. Numer. Anal., 47 (2008), 204-226.
  • 5J. Dougls, On the numerical integration of Uxx + Uyy = Utt by implicit methods, J. Soc. Indust. Appl. Math., 3 (1955), 42-65.
  • 6J. Dougls, Alternating direction methods for three space variables, Numer. Math., 6 (1964), 428- 453.
  • 7J. Dougls, S. Kim, Improved accuracy for locally one-dimensional Methods for parabolic equations, Math. Models Methods Appl. Sci., 11:9 (2001), 1563-1579.
  • 8V.J. Ervin, J.P. Roop, Variational formulation for the stationary fractional advection dispersion equation, Numer. Methods Partial Differential Equations, 22 (2005), 558-576.
  • 9G.H. Golub, C.F. Van Loan, Matrix Computations, 3rd Ed, The Johns Hopkins University Press, 1996.
  • 10D.F. Griffiths, D.J. Higham, Numerical methods for ordinary differential equations, SpringerVerlag London Limited, 2010.

同被引文献3

引证文献3

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部