Posted by **nebulae** at Feb. 18, 2015

English | ISBN: 3319093509 | 2015 | 526 pages | PDF | 9 MB

Posted by **ChrisRedfield** at May 7, 2014

Published: 2008-11-04 | ISBN: 3540850554, 3642098738 | PDF + DJVU | 332 pages | 8 MB

Posted by **arundhati** at Nov. 8, 2017

2017 | ISBN-10: 3319168738 | 795 pages | EPUB | 16 MB

Posted by **arundhati** at Dec. 18, 2017

2006 | ISBN: 0521547830, 0521839122 | 428 pages | PDF | 8 MB

Posted by **tukotikko** at Dec. 2, 2015

2016 | 795 Pages | ISBN: 3319168738 | PDF | 26 MB

Posted by **interes** at Nov. 12, 2015

English | 2015 | ISBN: 3319168738 | 791 pages | PDF | 24,3 MB

Posted by **exLib** at Jan. 18, 2015

Sрringеr | 2008 | ISBN: 3540713425 3642090486 9783540713425 9783540713432 | 743 pages | PDF | 10 MB

This volume is dedicated to advancements of fluid flow measuring techniques and of computational methods have led to new ways to treat laminar and turbulent flows. The book provides the knowledge to students in engineering and natural science needed to enter fluid mechanics applications in various fields.

Posted by **hill0** at July 1, 2017

English | 13 Apr. 2017 | ISBN: 3319446622 | 218 Pages | PDF | 5.12 MB

This book is a practical, step-by-step introduction to microsimulation in demography. It shows how to use Modgen, a powerful and free microsimulation platform built by Statistics Canada.

Posted by **hill0** at June 11, 2017

English | 13 Apr. 2017 | ISBN: 3319446622 | 218 Pages | PDF | 5.12 MB

This book is a practical, step-by-step introduction to microsimulation in demography. It shows how to use Modgen, a powerful and free microsimulation platform built by Statistics Canada.

Posted by **AvaxGenius** at June 11, 2017

English | PDF | 2008 | 331 Pages | ISBN : 3540752366 | 3.5 MB

Brain Dynamics serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical and computational neurosciences. Some of the advanced chapters will also be of interest to the specialists. The book approaches the subject through pulse-coupled neural networks, with at their core the lighthouse and integrate-and-fire models, which allow for the highly flexible modelling of realistic synaptic activity, synchronization and spatio-temporal pattern formation.