Overview
- Codes used for all of the computational examples are available on GitHub
- Covers optimization methods, regression principal & independent component analysis & variational calculus
- Problem solving & the constructive use of the mathematical foundations of the subject
Part of the book series: Texts in Computational Science and Engineering (TCSE, volume 13)
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Table of contents (10 chapters)
Keywords
About this book
Authors and Affiliations
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/10.1007/978-3-031-22430-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-22429-4Published: 12 July 2023
Softcover ISBN: 978-3-031-22432-4Due: 12 August 2023
eBook ISBN: 978-3-031-22430-0Published: 11 July 2023
Series ISSN: 1611-0994
Series E-ISSN: 2197-179X
Edition Number: 2
Number of Pages: XVI, 554
Number of Illustrations: 23 b/w illustrations, 178 illustrations in colour
Topics: Computational Science and Engineering, Optimization, Partial Differential Equations