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

Separation Of Variables For Partial Differential Equations An Eigenfunction Approach 1st Edition George Cain

  • SKU: BELL-5478224
Separation Of Variables For Partial Differential Equations An Eigenfunction Approach 1st Edition George Cain
$ 31.00 $ 45.00 (-31%)

4.0

16 reviews

Separation Of Variables For Partial Differential Equations An Eigenfunction Approach 1st Edition George Cain instant download after payment.

Publisher: Chapman and Hall/CRC
File Extension: PDF
File size: 9.72 MB
Author: George Cain, Gunter H. Meyer
ISBN: 9781584884200, 1584884207
Language: English
Year: 2005
Edition: 1

Product desciption

Separation Of Variables For Partial Differential Equations An Eigenfunction Approach 1st Edition George Cain by George Cain, Gunter H. Meyer 9781584884200, 1584884207 instant download after payment.

Features
Includes many realistic applications beyond the usual model problems
Discusses error estimates throughout
Presents eigenfunction expansion as rigorous approximation methods and computational tools
Contains numerous exercises
Separation of Variables for Partial Differential Equations: An Eigenfunction Approach includes many realistic applications beyond the usual model problems. The book concentrates on the method of separation of variables for partial differential equations, which remains an integral part of the training in applied mathematics. Beyond the usual model problems, the presentation includes a number of realistic applications that illustrate the power and usefulness of the ideas behind these techniques. This complete, self-contained book includes numerous exercises and error estimates, as well as a rigorous approximation and computational tool.

Related Products