Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every algorithm described is given with a complete function implementation in R, along with examples to demonstrate the function and its use. Computational Methods for Numerical Analysis with R is intended for those who already know R, but are interested in learning more about how the underlying algorithms work. As such, it is suitable for statisticians, economists, and engineers, and others with a computational and numerical background.
| ISBN: | 9781498723633 |
| Publication date: | 8th June 2017 |
| Author: | II, James P (Johns Hopkins Applied Physics Laboratory, USA) Howard |
| Publisher: | Chapman & Hall/CRC an imprint of Taylor & Francis Inc |
| Format: | Hardback |
| Pagination: | 257 pages |
| Series: | Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series |
| Genres: |
Computer science Information technology: general topics Environmental science, engineering and technology Probability and statistics |