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

Managing Complexity Reducing Perplexity Modeling Biological Systems 1st Edition Marcello Delitala

  • SKU: BELL-4696680
Managing Complexity Reducing Perplexity Modeling Biological Systems 1st Edition Marcello Delitala
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Managing Complexity Reducing Perplexity Modeling Biological Systems 1st Edition Marcello Delitala instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 3.46 MB
Pages: 133
Author: Marcello Delitala, Giulia Ajmone Marsan (eds.)
ISBN: 9783319037585, 9783319037592, 3319037587, 3319037595
Language: English
Year: 2014
Edition: 1

Product desciption

Managing Complexity Reducing Perplexity Modeling Biological Systems 1st Edition Marcello Delitala by Marcello Delitala, Giulia Ajmone Marsan (eds.) 9783319037585, 9783319037592, 3319037587, 3319037595 instant download after payment.

”Managing Complexity, Reducing Perplexity” is devoted to an overview of the status of the art in the study of complex systems, with particular focus on the analysis of systems pertaining to living matter. Both senior scientists and young researchers from diverse and prestigious institutions with a deliberately interdisciplinary cut were invited, in order to compare approaches and problems from different disciplines. The common aim of the contributions was to analyze the complexity of living systems by means of new mathematical paradigms that are more adherent to reality and which are able to generate both exploratory and predictive models that are capable of achieving a deeper insight into life science phenomena.

Related Products