Posted by **ksveta6** at Feb. 4, 2018

2017 | ISBN: 1138050865 | English | 590 pages | PDF | 33 MB

Posted by **AvaxGenius** at March 20, 2018

English | PDF,EPUB | 2017 | 255 Pages | ISBN : 3319682962 | 13.07 MB

This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications. The following subjects are considered: mathematical modelling in Neuroscience, analytical and numerical topics; statistical analysis in Neuroscience; Neural Networks; Theoretical Neuroscience. The book is addressed to researchers involved in mathematical models applied to neuroscience.

Posted by **AlexGolova** at March 14, 2018

English | 22 Jun 2016 | ASIN: B01HGG315Q | 192 Pages | MOBI | 7.65 MB

Posted by **DZ123** at March 12, 2018

English | 2016 | ISBN: 3319448102 | PDF | pages: 211 | 10.3 mb

Posted by **Grev27** at March 9, 2018

English | ISBN: 1786460483, ASIN: B01HOB5IRM | 2016 | PDF/EPUB/MOBI/Code files | 1783 pages | 332 MB

Posted by **First1** at March 9, 2018

English | October 25th, 2013 | ASIN: B00G9581R4, ISBN: 1783280654 | 70 pages | EPUB | 1.05 MB

Data visualization and analysis is a crucial skill in many software projects. Flot uses jQuery and HTML5 to add easy and powerful visualization capabilities to any web application. Flot produces beautiful visualizations with a minimal amount of code. It is also highly configurable, extensible, and includes many plugins out of the box.

Posted by **Grev27** at March 8, 2018

English | ISBN: 1788396545 | 2017 | EPUB/MOBI/Code files | 931 pages | 117 MB

Posted by **Grev27** at March 6, 2018

English | ISBN: 1787127486 | 2017 | EPUB/MOBI/Code files | 330 pages | 20 MB

Posted by **step778** at March 2, 2018

2009 | pages: 478 | ISBN: 9264056262 | PDF | 6,3 mb

Posted by **First1** at March 2, 2018

English | 2017 | ISBN: 3110430010 | 310 pages | EPUB | 30.55 MB

Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet the needs of environmental sciences and related fields. This book has an impressive coverage of the scope. Main techniques described in this book are models for linear and nonlinear environmental systems, statistical & numerical methods, data envelopment analysis, risk assessments and life cycle assessments.