Posted by **ksveta6** at Dec. 14, 2015

2009 | ISBN: 0898716926 | English | 281 pages | PDF | 2 MB

Posted by **interes** at Jan. 11, 2015

English | 2011-09-22 | ISBN: 1617792918 | PDF | 457 pages | 10,7 MB

Posted by **ChrisRedfield** at June 1, 2013

Published: 2011-09-22 | ISBN: 1617792918 | PDF | 457 pages | 10 MB

Posted by **AvaxGenius** at Feb. 14, 2017

English | PDF,EPUB | 2016 | 128 Pages | ISBN : 3319453173 | 3.92 MB

This is a short and self-contained introduction to the field of mathematical modeling of gene-networks in bacteria.

Posted by **Underaglassmoon** at Nov. 15, 2016

Springer | Genetics | December 8, 2016 | ISBN-10: 3319453173 | 124 pages | pdf | 2.38 mb

Authors: Mackey, M., Santillán, M., Tyran-Kamińska, M., Zeron, E.S.

Serves as a readable and brief entry point into a highly active field

Allows the reader to grasp the current state of research

Posted by **hill0** at April 3, 2017

English | 10 Mar. 2017 | ISBN: 3319546082 | 272 Pages | PDF | 32.5 MB

This book constitutes the refereed post-conference proceedings of the 5th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2016, held in Niagara Falls, NY, USA, in September 2016.

Posted by **AvaxGenius** at April 2, 2017

English | PDF | 2017 | 269 Pages | ISBN : 3319546082 | 32.50 MB

This book constitutes the refereed post-conference proceedings of the 5th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2016, held in Niagara Falls, NY, USA, in September 2016.

Posted by **DZ123** at March 2, 2017

English | 2014 | ISBN: 3319099930 | PDF | pages: 436 | 37.0 mb

Posted by **readerXXI** at Feb. 18, 2017

the Discrete Element Method

English | 2016 | ISBN: 1522502319 | 527 Pages | PDF | 63 MB

Computational Modeling of Masonry Structures Using the Discrete Element Method explores the latest digital solutions for the analysis and modeling of brick, stone, concrete, granite, limestone, and glass block structures.

Posted by **Underaglassmoon** at May 17, 2016

Springer | Mathematics | June 13, 2016 | ISBN-10: 3319322842 | 127 pages | pdf | 13.26 mb

Authors: Kolossa, Antonio

Presents observer models which are useful to compute probability distributions over observable events and hidden states

Helps the reader to better understand the neural coding by means of Bayesian rules