1st Edition

Computational Methods for Numerical Analysis with R





  • Available for pre-order. Item will ship after September 30, 2020
ISBN 9780367657918
September 30, 2020 Forthcoming by Chapman and Hall/CRC
257 Pages

USD $54.95

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Book 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

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Author(s)

Biography

James P Howard, II