Computational methods for numerical analysis with R
Author(s)
Bibliographic Information
Computational methods for numerical analysis with R
（Chapman & Hall/CRC numerical analysis and scientific computing）
CRC Press, c2017
- : hardback
Available at 3 libraries
Note
"A Chapman & Hall book"
Suggested reading: p. 249-252
Includes index
Description and Table of Contents
Description
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.
Table of Contents
Preface
Introduction to Numerical Analysis
Error Analysis
Linear Algebra
Interpolation and Extrapolation
Differentiation and Integration
Root Finding and Optimization
Differential Equations
Suggested Reading
Index
by "Nielsen BookData"