Computational methods for numerical analysis with R

Computational methods for numerical analysis with R

James Patrick Howard II
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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.

類別:
年:
2017
版本:
1
出版商:
Chapman and Hall/;CRC Press
語言:
english
頁數:
277
ISBN 10:
1498723632
ISBN 13:
9781498723633
系列:
Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
文件:
PDF, 5.15 MB
IPFS:
CID , CID Blake2b
english, 2017
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