First Semester in Numerical Analysis with Python
We hope this book will better serve readers who are interested in a first course in Numerical Analysis, but are more familiar with Python for the implementation of the algorithms. The first chapter of the book has a self-contained tutorial for Python, including how to set up the computer environment. Anaconda, the open-source individual edition, is recommended for an easy installation of Python and effortless management of Python packages, and the Jupyter environment, a web-based interactive development environment for Python as well as many other programming languages, was used throughout the book and is recommended to the readers for easy code developement, graph visualization and reproducibility.
Table of contents
- Introduction
- Solutions of equations: Root-finding
- Interpolation
- Numerical Quadrature and Differentiation
- Approximation Theory
| Pages : | 191 |
| Size : | 6.8 MB |
| File type : | |
| Downloads: | 194 |
| Created: | 2022-02-02 |
| License: | CC BY-NC-SA |
| Author(s): | Yaning Liu |
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