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Taschenbuch. Condition: Neu. Computational Methods for Numerical Analysis with R | James P Howard II | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367657918 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Published by Chapman and Hall/CRC, 2017
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ISBN 10: 1498723632 ISBN 13: 9781498723633
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Hardback. Condition: New. 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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ISBN 10: 1498723632 ISBN 13: 9781498723633
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Condition: New. Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series. Num Pages: 281 pages, 47 black & white illustrations, 3 black & white tables, 12 black & white halftones, 35 bl. BIC Classification: PBT; UB. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 235 x 156. . . 2017. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.
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Published by Taylor and Francis Inc, US, 2017
ISBN 10: 1498723632 ISBN 13: 9781498723633
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Hardback. Condition: New. 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.