logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Numerical Solution Of Ordinary Differential Equations For Classical Relativistic And Nano Systems 1st Edition Donald Greenspan

  • SKU: BELL-1206066
Numerical Solution Of Ordinary Differential Equations For Classical Relativistic And Nano Systems 1st Edition Donald Greenspan
$ 31.00 $ 45.00 (-31%)

4.3

38 reviews

Numerical Solution Of Ordinary Differential Equations For Classical Relativistic And Nano Systems 1st Edition Donald Greenspan instant download after payment.

Publisher: Wiley-VCH
File Extension: PDF
File size: 5.15 MB
Pages: 197
Author: Donald Greenspan
ISBN: 9783527406104, 3527406107
Language: English
Year: 2006
Edition: 1

Product desciption

Numerical Solution Of Ordinary Differential Equations For Classical Relativistic And Nano Systems 1st Edition Donald Greenspan by Donald Greenspan 9783527406104, 3527406107 instant download after payment.

This work meets the need for an affordable textbook that helps in understanding numerical solutions of ODE. Carefully structured by an experienced textbook author, it provides a survey of ODE for various applications, both classical and modern, including such special applications as relativistic systems. The examples are carefully explained and compiled into an algorithm, each of which is presented independent of a specific programming language. Each chapter is rounded off with exercises.

Related Products