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  4. High-Order Accurate Adaptive Kernel Compression Time-Stepping Schemes for Fractional Differential Equations
 
research article

High-Order Accurate Adaptive Kernel Compression Time-Stepping Schemes for Fractional Differential Equations

Baffet, Daniel Henri  
•
Hesthaven, Jan S.  
2017
Journal of Scientific Computing

High-order adaptive methods for fractional differential equations are proposed. The methods rely on a kernel reduction method for the approximation and localization of the history term. To avoid complications typical to multistep methods, we focus our study on 1-step methods and approximate the local part of the fractional integral by integral deferred correction to enable high order accuracy. We present numerical results obtained with both implicit and the explicit methods applied to different problems.

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Type
research article
DOI
10.1007/s10915-017-0393-z
Web of Science ID

WOS:000408109600011

Author(s)
Baffet, Daniel Henri  
Hesthaven, Jan S.  
Date Issued

2017

Publisher

Springer Verlag

Published in
Journal of Scientific Computing
Volume

72

Issue

3

Start page

1169

End page

1195

Subjects

fractional differential equations

•

Volterra equations

•

kernel reduction

•

high-order numerical methods

•

integral deferred correction

•

local schemes

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
MCSS  
Available on Infoscience
April 17, 2016
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/125731
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