Share
Fractional Calculus: High-Precision Algorithms and Numerical Implementations
Dingyü Xue
(Author)
·
Lu Bai
(Author)
·
Springer
· Hardcover
Fractional Calculus: High-Precision Algorithms and Numerical Implementations - Xue, Dingyü ; Bai, Lu
£ 179.99
£ 199.99
You save: £ 20.00
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, July 15 and
Tuesday, July 16.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Fractional Calculus: High-Precision Algorithms and Numerical Implementations"
Fractional calculus and its applications are fascinating research areas in many engineering disciplines. This book is a comprehensive collection of research from the author's group, which is one of the most active in the fractional calculus community worldwide and is the birthplace of one of the four MATLAB toolboxes in fractional calculus, the FOTF Toolbox. The book presents high-precision solution algorithms for a variety of fractional-order differential equations, including nonlinear, delay, and boundary value equations. Currently, there are no other universal solvers available for the latter two types of equations. Through this book, readers can systematically study the mathematics and solution methods in the field of fractional calculus and apply these concepts to different engineering fields, particularly control systems engineering.This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
✓ Producto agregado correctamente al carro, Ir a Pagar.