Computational Methods for Numerical Analysis with R

Nonfiction, Science & Nature, Mathematics, Number Systems, Statistics
Cover of the book Computational Methods for Numerical Analysis with R by James P Howard, II, CRC Press
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Author: James P Howard, II ISBN: 9781351646505
Publisher: CRC Press Publication: July 12, 2017
Imprint: Chapman and Hall/CRC Language: English
Author: James P Howard, II
ISBN: 9781351646505
Publisher: CRC Press
Publication: July 12, 2017
Imprint: Chapman and Hall/CRC
Language: English

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.

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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.

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