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- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Computational Mathematics (SSCM, volume 8)
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Table of contents (3 chapters)
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Front Matter
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Back Matter
Reviews
From the reviews
"This is the revised version of the first edition of Vol. I published in 1987. ….Vols. I and II (SSCM 14) of Solving Ordinary Differential Equations together are the standard text on numerical methods for ODEs. ...This book is well written and is together with Vol. II, the most comprehensive modern text on numerical integration methods for ODEs. It may serve a a text book for graduate courses, ...and also as a reference book for all those who have to solve ODE problems numerically." Zeitschrift für Angewandte Mathematik und Physik
"… This book is a valuable tool for students of mathematics and specialists concerned with numerical analysis, mathematical physics, mechanics, system engineering, and the application of computers for design and planning…" Optimization
"… This book is highly recommended as a text for courses in numerical methods for ordinary differential equations and as a reference for the worker. It should be in every library, both academic and industrial." Mathematics and Computers
Authors and Affiliations
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Section de Mathématiques, Université de Genève, Genève 4, Switzerland
Ernst Hairer, Gerhard Wanner
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Department of Mathematical Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Syvert P. Nørsett
Bibliographic Information
Book Title: Solving Ordinary Differential Equations I
Book Subtitle: Nonstiff Problems
Authors: Ernst Hairer, Gerhard Wanner, Syvert P. Nørsett
Series Title: Springer Series in Computational Mathematics
DOI: https://doi.org/10.1007/978-3-540-78862-1
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1993
Hardcover ISBN: 978-3-540-56670-0Published: 05 August 1993
Softcover ISBN: 978-3-642-05163-0Published: 02 December 2009
eBook ISBN: 978-3-540-78862-1Published: 03 April 2008
Series ISSN: 0179-3632
Series E-ISSN: 2198-3712
Edition Number: 2
Number of Pages: XV, 528
Topics: Analysis, Numerical Analysis
Industry Sectors: Energy, Utilities & Environment, Engineering, IT & Software