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

Computational Network Theory Theoretical Foundations And Applications Quantitative And Network Biology Series 1st Edition Matthias Dehmer

  • SKU: BELL-5086652
Computational Network Theory Theoretical Foundations And Applications Quantitative And Network Biology Series 1st Edition Matthias Dehmer
$ 31.00 $ 45.00 (-31%)

4.8

34 reviews

Computational Network Theory Theoretical Foundations And Applications Quantitative And Network Biology Series 1st Edition Matthias Dehmer instant download after payment.

Publisher: Wiley-Blackwell
File Extension: PDF
File size: 3.76 MB
Pages: 280
Author: Matthias Dehmer, Frank Emmert-Streib, Stefan Pickl (eds.)
ISBN: 9783527337248, 3527337245
Language: English
Year: 2015
Edition: 1

Product desciption

Computational Network Theory Theoretical Foundations And Applications Quantitative And Network Biology Series 1st Edition Matthias Dehmer by Matthias Dehmer, Frank Emmert-streib, Stefan Pickl (eds.) 9783527337248, 3527337245 instant download after payment.

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.

Related Products