Overview
- MATLAB codes used for all of the numerical methods are available from author's website
- Extensive coverage of optimization methods including regression, both principal and independent component analysis, and variational calculus
- Directed towards problem solving that incorporates the mathematical foundations of the subject
- Includes supplementary material: sn.pub/extras
Part of the book series: Texts in Computational Science and Engineering (TCSE, volume 13)
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Bibliographic Information
Book Title: Introduction to Scientific Computing and Data Analysis
Authors: Mark H. Holmes
Series Title: Texts in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-319-30256-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-80762-1Published: 31 May 2018
eBook ISBN: 978-3-319-30256-0Published: 30 May 2016
Series ISSN: 1611-0994
Series E-ISSN: 2197-179X
Edition Number: 1
Number of Pages: XIV, 497
Number of Illustrations: 39 b/w illustrations, 138 illustrations in colour
Topics: Computational Science and Engineering, Optimization, Partial Differential Equations