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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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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Reviews
Authors and Affiliations
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Department of Mathematical Sciences, Rensselaer Polytechnic University, Troy, USA
Mark H. Holmes
About the author
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