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Computational Methods for Numerical Analysis with R : Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series - II James P Howard

Computational Methods for Numerical Analysis with R

By: II James P Howard

eText | 12 July 2017 | Edition Number 1

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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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Non-FictionMathematicsProbability & StatisticsComputing & I.T.Computer ScienceInformation Technology General IssueEngineering & TechnologyEnvironmental ScienceBusiness ApplicationsMathematical & Statistical SoftwareCalculus & Mathematical AnalysisNumerical Analysis

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Published: 30th September 2020

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