Computational Methods for Numerical Analysis with R
Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series;
- Publisher's listprice GBP 52.99
-
25 315 Ft (24 110 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 5 063 Ft off)
- Discounted price 20 252 Ft (19 288 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
25 315 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 30 September 2020
- ISBN 9780367657918
- Binding Paperback
- No. of pages280 pages
- Size 234x156 mm
- Weight 540 g
- Language English 100
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 g
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
More
Numerical Calculation for Physics Laboratory Projects Using Microsoft EXCEL?
32 765 HUF
30 144 HUF
Design of User Interfaces with a Data Science Approach
147 651 HUF
135 839 HUF
