Computational Methods for Numerical Analysis with R
Published on 12. July 2017
277 pages
978-1-351-64650-5 (ISBN)
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.
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.
Reviews / Votes
"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
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Product notice
Reflowable
Illustrations
3 Tables, black and white; 35 Line drawings, black and white; 12 Halftones, black and white; 47 Illustrations, black and white
File size
5,76 MB
ISBN-13
978-1-351-64650-5 (9781351646505)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
James P. Howard, II
Computational Methods for Numerical Analysis with R
Book
09/2020
1st Edition
Chapman & Hall/CRC
€79.70
Shipment within 15-20 days
James P. Howard, II
Computational Methods for Numerical Analysis with R
Book
06/2017
1st Edition
Chapman & Hall/CRC
€145.30
Shipment within 15-20 days
Person
Content
Preface
Introduction to Numerical Analysis
Error Analysis
Linear Algebra
Interpolation and Extrapolation
Differentiation and Integration
Root Finding and Optimization
Differential Equations
Suggested Reading
Index
Introduction to Numerical Analysis
Error Analysis
Linear Algebra
Interpolation and Extrapolation
Differentiation and Integration
Root Finding and Optimization
Differential Equations
Suggested Reading
Index
