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Table of contents (8 chapters)
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About this book
Reviews
P. Deuflhard and F. Bornemann
Scientific Computing with Ordinary Differential Equations
"Provides a sound fundamental introduction to the mathematical and numerical aspects of discretization methods for solving initial value problems in ordinary differential equations . . . This book would make an interesting (non-conventional) textbook for a graduate course in numerical analysis of ODEs. It is written at a level which is accessible to such an audience, covers a wide variety of topics, both classical and modern, and contains a generous supply of homework exercises. In summary, this is an excellent and timely book."—MATHEMATICAL REVIEWS
"As indicated by the title, this is not a treatise merely on the numerical analysis of ordinary differential equations (ODEs). … the reader is made acquainted with nontrivial examples of ODEs arising in diverse areas and with intrinsic properties of these equations. … The consideration of all the various components … makes for a very informative reading which is further aided by the undogmatic style of presentation. The volume can be recommended to newcomers, but also to instructors in this area." (H. Muthsam, Monatshefte für Mathematik, Vol. 143 (1), 2004)
Authors and Affiliations
Bibliographic Information
Book Title: Scientific Computing with Ordinary Differential Equations
Authors: Peter Deuflhard, Folkmar Bornemann
Series Title: Texts in Applied Mathematics
DOI: https://doi.org/10.1007/978-0-387-21582-2
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2002
Hardcover ISBN: 978-0-387-95462-2Published: 09 July 2002
Softcover ISBN: 978-1-4419-3011-8Published: 03 December 2010
eBook ISBN: 978-0-387-21582-2Published: 06 December 2012
Series ISSN: 0939-2475
Series E-ISSN: 2196-9949
Edition Number: 1
Number of Pages: XX, 486
Additional Information: Original German edition published by DeGruyter, Germany
Topics: Ordinary Differential Equations, Computational Mathematics and Numerical Analysis