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Computational Methods for Numerical Analysis with R - James P Howard II

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2020-09-30
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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 demons ... Visas aprašymas

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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.

Daugiau informacijos

Autorius James P Howard II
Leidėjas Chapman and Hall/CRC
Išleidimo metai 2020
Viršelio tipas Minkšti viršeliai
EAN 9780367657918
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110,38 € 169,82 €