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Can I read Computational Methods for Numerical Analysis with R (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series) on EtoBox?

Computational Methods for Numerical Analysis with R (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series) by James Patrick Howard (II) is a nonfiction available to read on EtoBox.

What is Computational Methods for Numerical Analysis with R (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series) about?

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. -- Provided by publisher

Who reads Computational Methods for Numerical Analysis with R (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
James Patrick Howard (II)
Publisher
CRC Press, Taylor & Francis Group
Published
2017
Language
EN
ISBN
9781315120195
Category
nonfiction
Subjects
Mathematics, Computer Science, Stem

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