Computational Methods For Numerical Analysis With R Chapman Hallcrc Numerical Analysis And Scientific Computing Series

James P. Howard

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Computational Methods For Numerical Analysis With R Chapman Hallcrc Numerical Analysis And Scientific Computing Series
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...

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Resumo

Computational Methods For Numerical Analysis With R Chapman Hallcrc Numerical Analysis And Scientific Computing Series

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.


Nº de Páginas: 277
Encadernação: Capa Dura / Hardback
Tema: Computing: general
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Características

Editora

Taylor & Francis

Idiomas

Inglês

Número de páginas

277,0

Colecção

Probability & statistics

Peso

554,0

Data de lançamento

08/06/2017

Série/Edição Limitada

1

EAN

9781498723633

Publicidade
Publicidade