Authors:
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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About this book
Keywords
- Scientific Computing
- Data Analysis
- Optimization
- Interpolation
- Nonlinear Equations
- Numerical Linear Algebra
- Numerical Integration
- Singular Value Decomposition
- Conjugate Gradient Method
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
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: 978-3-031-22429-4Due: 29 May 2023
Softcover ISBN: 978-3-031-22432-4Due: 29 May 2024
eBook ISBN: 978-3-031-22430-0Due: 29 May 2023
Series ISSN: 1611-0994
Series E-ISSN: 2197-179X
Edition Number: 2
Number of Pages: XIV, 494
Number of Illustrations: 10 b/w illustrations, 150 illustrations in colour
Topics: Computational Science and Engineering, Optimization, Analysis