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Numerical Methods for Fractional Calculus

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by Changpin Li & Fanhai Zeng
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Numerical Methods for Fractional Calculus by Changpin Li & Fanhai Zeng

Numerical Methods for Fractional Calculus presents numerical methods for fractional integrals and fractional derivatives, finite difference methods for fractional ordinary differential equations (FODEs) and fractional partial differential equations (FPDEs), and finite element methods for FPDEs.

The book introduces the basic definitions and properties of fractional integrals and derivatives before covering numerical methods for fractional integrals and derivatives. It then discusses finite difference methods for both FODEs and FPDEs, including the Euler and linear multistep methods. The final chapter shows how to solve FPDEs by using the finite element method.

This book provides efficient and reliable numerical methods for solving fractional calculus problems. It offers a primer for readers to further develop cutting-edge research in numerical fractional calculus. MATLAB? functions are available on the book's CRC Press web page.To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.

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Ebook Details
Pages: 300
Size: 3.3 MB
Publisher: CRC Press
Date published:   2015
ISBN: 9781482253818 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Mathematics
Nonfiction > Mathematics > Applied
Nonfiction > Mathematics > Number Systems

These authors have products in the following categories:

Nonfiction > Mathematics > Numerical Analysis
Nonfiction > Mathematics > Complex Analysis
Nonfiction > Mathematics > Differential Equations > Partial
Nonfiction > Mathematics
Nonfiction > Mathematics > Applied
Nonfiction > Mathematics > Number Systems

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