Computational Methods for Numerical Analysis with R

by James P Howard, II

Overview

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.

Product Details

ISBN-13:	9781498723633
Publisher:	Taylor & Francis
Publication date:	06/08/2017
Series:	Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Pages:	277
Product dimensions:	6.12(w) x 9.19(h) x (d)

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

Editorial Reviews

"The author says that the book is written for advanced undergraduate or first year graduate student as a collateral text for numerical analysis courses. The theoretical part of numerical analysis is mostly omitted, the focus is to present a working R code for many basic tasks of numerical computation including linear algebra, interpolation, numerical integration, root finding and optimisation and differential equations. The presentation is very clear and reader friendly."
—Matti Vuorinen (Turku), in Zentralblatt Mathematik, April 2018

From the Publisher