Computational methods for numerical analysis with R

✍ Scribed by James Patrick Howard II

• Publisher: Chapman and Hall/;CRC Press
• Year: 2017
• Tongue: English
• Leaves: 279
• Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
• Edition: 1
• Category: Library

✦ Synopsis

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

Content: Preface Introduction to Numerical Analysis Error Analysis Linear Algebra Interpolation and Extrapolation Differentiation and Integration Root Finding and Optimization Differential Equations Suggested Reading Index

✦ Subjects

Numerical analysis.;Numerical analysis -- Data processing.;R (Computer program language)