| Computational Methods for Numerical Analysis with R Contributor(s): Howard II, James P. (Author) |
|
 |
ISBN: 1498723632 ISBN-13: 9781498723633 Publisher: CRC Press OUR PRICE: $114.00 Product Type: Hardcover - Other Formats Published: June 2017 |
| Additional Information |
| BISAC Categories: - Mathematics | Number Systems - Mathematics | Probability & Statistics - General |
| Dewey: 518.028 |
| LCCN: 2017003675 |
| Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computi |
| Physical Information: 0.9" H x 6.1" W x 9.2" (1.15 lbs) 257 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |