Using R for Numerical Analysis in Science and Engineering / by Victor A. Bloomfield.

Format:

Book

Author/Creator:

Bloomfield, Victor A., author.

Series:

Chapman & Hall/CRC the R series.

Chapman & Hall/CRC the R Series

Language:

English

Subjects (All):

Science--Data processing.

Science.

Engineering--Data processing.

Engineering.

Numerical analysis.

R (Computer program language).

Physical Description:

1 online resource (356 p.)

Edition:

1st edition

Place of Publication:

Boca Raton, FL : Chapman and Hall/CRC, [2018].

Language Note:

English

System Details:

text file

Summary:

Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers. This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlinear equations as well as ordinary differential equations and partial differential equations. It not only shows how to use R’s powerful graphic tools to construct the types of plots most useful in scientific and engineering work, but also: Explains how to statistically analyze and fit data to linear and nonlinear modelsExplores numerical differentiation, integration, and optimizationDescribes how to find eigenvalues and eigenfunctionsDiscusses interpolation and curve fittingConsiders the analysis of time series Using R for Numerical Analysis in Science and Engineering provides a solid introduction to the most useful numerical methods for scientific and engineering data analysis using R.

Contents:

Front Cover; Chapman & Hall/CRC The R Series; Published Titles; Contents; List of Figures; Preface; Chapter 1 Introduction; Chapter 2 Calculating; Chapter 3 Graphing; Chapter 4 Programming and functions; Chapter 5 Solving systems of algebraic equations; Chapter 6 Numerical differentiation and integration; Chapter 7 Optimization; Chapter 8 Ordinary differential equations; Chapter 9 Partial differential equations; Chapter 10 Analyzing data; Chapter 11 Fitting models to data; Bibliography; Back Cover

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-315-36049-7

1-4987-8662-6

1-315-36286-4

1-315-37379-3

1-4398-8449-8

9781315373799

OCLC:

880455871