Volume 13, Issue 2
Fast Evaluation of Linear Combinations of Caputo Fractional Derivatives and Its Applications to Multi-Term Time-Fractional Sub-Diffusion Equations

Guanghua Gao & Qian Yang

Numer. Math. Theor. Meth. Appl., 13 (2020), pp. 433-451.

Published online: 2020-03

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  • Abstract

In the present work, linear combinations of Caputo fractional derivatives are fast evaluated based on the efficient sum-of-exponentials (SOE) approximation for  kernels in Caputo fractional derivatives with an absolute error $\epsilon,$  which is a further work of the existing results in [13]  (Commun. Comput. Phys., 21 (2017), pp. 650-678) and [16] (Commun. Comput. Phys., 22 (2017), pp. 1028-1048). Both the storage needs and computational amount are  significantly reduced compared with the direct algorithm. Applications of the proposed fast algorithm are illustrated by solving a second-order multi-term time-fractional sub-diffusion problem. The unconditional stability and convergence of the fast difference scheme are proved. The CPU time is largely reduced while the accuracy is kept, especially for the cases of  large  temporal level, which is displayed by  numerical experiments.

  • Keywords

Fast evaluation, sum-of-exponentials approximation, multi-term fractional derivatives, stability, convergence

  • AMS Subject Headings

65M06, 65M12, 65M15

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address

gaoguanghua1107@163.com (Guanghua Gao)

861724730@qq.com (Qian Yang)

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@Article{NMTMA-13-433, author = {Gao , Guanghua and Yang , Qian }, title = {Fast Evaluation of Linear Combinations of Caputo Fractional Derivatives and Its Applications to Multi-Term Time-Fractional Sub-Diffusion Equations}, journal = {Numerical Mathematics: Theory, Methods and Applications}, year = {2020}, volume = {13}, number = {2}, pages = {433--451}, abstract = {

In the present work, linear combinations of Caputo fractional derivatives are fast evaluated based on the efficient sum-of-exponentials (SOE) approximation for  kernels in Caputo fractional derivatives with an absolute error $\epsilon,$  which is a further work of the existing results in [13]  (Commun. Comput. Phys., 21 (2017), pp. 650-678) and [16] (Commun. Comput. Phys., 22 (2017), pp. 1028-1048). Both the storage needs and computational amount are  significantly reduced compared with the direct algorithm. Applications of the proposed fast algorithm are illustrated by solving a second-order multi-term time-fractional sub-diffusion problem. The unconditional stability and convergence of the fast difference scheme are proved. The CPU time is largely reduced while the accuracy is kept, especially for the cases of  large  temporal level, which is displayed by  numerical experiments.

}, issn = {2079-7338}, doi = {https://doi.org/10.4208/nmtma.OA-2019-0013}, url = {http://global-sci.org/intro/article_detail/nmtma/15486.html} }
TY - JOUR T1 - Fast Evaluation of Linear Combinations of Caputo Fractional Derivatives and Its Applications to Multi-Term Time-Fractional Sub-Diffusion Equations AU - Gao , Guanghua AU - Yang , Qian JO - Numerical Mathematics: Theory, Methods and Applications VL - 2 SP - 433 EP - 451 PY - 2020 DA - 2020/03 SN - 13 DO - http://doi.org/10.4208/nmtma.OA-2019-0013 UR - https://global-sci.org/intro/article_detail/nmtma/15486.html KW - Fast evaluation, sum-of-exponentials approximation, multi-term fractional derivatives, stability, convergence AB -

In the present work, linear combinations of Caputo fractional derivatives are fast evaluated based on the efficient sum-of-exponentials (SOE) approximation for  kernels in Caputo fractional derivatives with an absolute error $\epsilon,$  which is a further work of the existing results in [13]  (Commun. Comput. Phys., 21 (2017), pp. 650-678) and [16] (Commun. Comput. Phys., 22 (2017), pp. 1028-1048). Both the storage needs and computational amount are  significantly reduced compared with the direct algorithm. Applications of the proposed fast algorithm are illustrated by solving a second-order multi-term time-fractional sub-diffusion problem. The unconditional stability and convergence of the fast difference scheme are proved. The CPU time is largely reduced while the accuracy is kept, especially for the cases of  large  temporal level, which is displayed by  numerical experiments.

Guanghua Gao & Qian Yang. (2020). Fast Evaluation of Linear Combinations of Caputo Fractional Derivatives and Its Applications to Multi-Term Time-Fractional Sub-Diffusion Equations. Numerical Mathematics: Theory, Methods and Applications. 13 (2). 433-451. doi:10.4208/nmtma.OA-2019-0013
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