Computational Methods for Numerical Analysis with R
Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series;
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 8 June 2017
- ISBN 9781498723633
- Binding Hardback
- No. of pages277 pages
- Size 234x156 mm
- Weight 500 g
- Language English
- Illustrations 47 Illustrations, black & white; 12 Halftones, black & white; 35 Line drawings, black & white; 3 Tables, black & white 0
Categories
Short description:
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.
MoreLong description:
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.
"The author says that the book is written for advanced undergraduate or first year graduate student as a collateral text for numerical analysis courses. The theoretical part of numerical analysis is mostly omitted, the focus is to present a working R code for many basic tasks of numerical computation including linear algebra, interpolation, numerical integration, root finding and optimisation and differential equations. The presentation is very clear and reader friendly."
—Matti Vuorinen (Turku), in Zentralblatt Mathematik, April 2018
Table of Contents:
Preface
Introduction to Numerical Analysis
Error Analysis
Linear Algebra
Interpolation and Extrapolation
Differentiation and Integration
Root Finding and Optimization
Differential Equations
Suggested Reading
Index
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