Authors:
- Equal emphasis on theory, symbolic computation and numerical algorithms
- Numerous complete, ready-to-run programs in Matlab and Maple, complete with many examples
- In-depth treatment of many advanced topics, beyond standard undergraduate texts
- Includes supplementary material: sn.pub/extras
Part of the book series: Texts in Computational Science and Engineering (TCSE, volume 11)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the book reviews:
“This is an elaborate book on fundamental numerical methods including numerical ordinary differential equations and optimization. … All chapters are organized in the same nice way by beginning with an introductary example and ending with a large number of exercises. The presentation of the material is reader orientated such that e.g. a student can learn directly from the book. Many details are given and special attention lies on various numerical calculations which enlight the performance of the respective algorithms.” (Rolf Dieter Grigorieff, zbMATH, Vol. 1296, 2014)Authors and Affiliations
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Departement Informatik, ETH Zürich, Zürich, Switzerland
Walter Gander
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Section de Mathématiques, Université de Genève, Genève, Switzerland
Martin J. Gander, Felix Kwok
Bibliographic Information
Book Title: Scientific Computing - An Introduction using Maple and MATLAB
Authors: Walter Gander, Martin J. Gander, Felix Kwok
Series Title: Texts in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-319-04325-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-04324-1Published: 29 April 2014
Softcover ISBN: 978-3-319-38158-9Published: 01 October 2016
eBook ISBN: 978-3-319-04325-8Published: 23 April 2014
Series ISSN: 1611-0994
Series E-ISSN: 2197-179X
Edition Number: 1
Number of Pages: XVIII, 905
Number of Illustrations: 80 b/w illustrations, 53 illustrations in colour
Topics: Computational Mathematics and Numerical Analysis, Algorithms, Computational Science and Engineering, Mathematical Software, Numerical Analysis