1st Edition

Computational Methods for Numerical Analysis with R

By II Howard Copyright 2017
280 Pages
by Chapman & Hall

277 Pages 47 B/W Illustrations
by Chapman & Hall

277 Pages 47 B/W Illustrations
by Chapman & Hall

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... Read more


Preface



Introduction to Numerical Analysis



Error Analysis



Linear Algebra



Interpolation and Extrapolation



Differentiation and Integration



Root Finding and Optimization



Differential Equations



Suggested Reading



Index

Biography

James P Howard, II

"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