Introduction to Scientific Computing and Data Analysis
This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a si...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Edition: | 1st ed. 2016. |
| Series: | Texts in Computational Science and Engineering,
13 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-319-30256-0 |
Table of Contents:
- Introduction to Scientific Computing
- Solving a Nonlinear Equation
- Matrix Equations
- Eigenvalue Problems
- Interpolation
- Numerical Integration
- Initial Value Problems
- Optimization
- Data Analysis
- Appendices.