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Computational Methods for Numerical Analysis

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This is the R package to support Computational Methods for Numerical Analysis with R by James P. Howard, II.

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 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.

Algorithms included

Dependencies

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.