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Using R for numerical analysis in science and engineering / Victor A. Bloomfield.

By: Material type: TextTextSeries: The R seriesPublication details: Boca Raton : CRC Press, ©2014.Description: xxii, 335 p. : illustrations ; 25 cmISBN:
  • 9781439884485 (hardback : acidfree paper)
Subject(s): DDC classification:
  • 518.02855133 23 B655
Contents:
1. Introduction -- 2. Calculating -- 3. Graphing -- 4. Programming and functions -- 5. Solving systems of algebraic equations -- 6. Numerical differentiation and integration -- 7. Optimization -- 8. Ordinary differential equations -- 9. Partial differential equations -- 10. Analyzing data -- 11. Fitting models to data.
Summary: This book shows how the free and open-source R environment can be used as a powerful and comprehensive platform for the kinds of numerical analysis that are traditionally employed by MATLAB. With R code fully integrated, the book offers brief descriptions of basic approaches and emphasizes detailed worked examples. It covers functions in the base installation of R as well as those in contributed packages, which greatly enhance the numerical analysis capabilities of R.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 518.02855133 B655 (Browse shelf(Opens below)) Available 137173
Total holds: 0

Includes bibliographical references and index.

1. Introduction --
2. Calculating --
3. Graphing --
4. Programming and functions --
5. Solving systems of algebraic equations --
6. Numerical differentiation and integration --
7. Optimization --
8. Ordinary differential equations --
9. Partial differential equations --
10. Analyzing data --
11. Fitting models to data.

This book shows how the free and open-source R environment can be used as a powerful and comprehensive platform for the kinds of numerical analysis that are traditionally employed by MATLAB. With R code fully integrated, the book offers brief descriptions of basic approaches and emphasizes detailed worked examples. It covers functions in the base installation of R as well as those in contributed packages, which greatly enhance the numerical analysis capabilities of R.

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