Posted by **interes** at April 22, 2017

English | 2017 | ISBN: 1138029629 | 192 pages | PDF | 18 MB

Posted by **AvaxGenius** at April 22, 2017

English | EPUB | 2015 | 314 Pages | ISBN : 3319167383 | 4 MB

This is the first numerical analysis text to use Sage for the implementation of algorithms and can be used in a one-semester course for undergraduates in mathematics, math education, computer science/information technology, engineering, and physical sciences.

Posted by **nebulae** at April 18, 2017

English | ISBN: 3709148537 | 2017 | 815 pages | PDF | 20 MB

Posted by **thingska** at April 12, 2017

English | 2009 | ISBN: 1420091573, 9781420091571 | 628 Pages | PDF | 4.11 MB

Posted by **hill0** at April 12, 2017

English | 16 May 2017 | ISBN: 3319570986 | 785 Pages | PDF | 66.54 MB

This book constitutes thoroughly revised selected papers of the 6th International Conference on Numerical Analysis and Its Applications, NAA 2016, held in Lozenetz, Bulgaria, in June 2016. The 90 revised papers presented were carefully reviewed and selected from 98 submissions.

Posted by **libr** at April 11, 2017

English | 2013 | ISBN: 1118451198 | 450 pages | PDF | 6,2 MB

Posted by **AvaxGenius** at April 10, 2017

English | EPUB | 2014 | 517 Pages | ISBN : 149390454X | 7.44 MB

With applications to climate, technology, and industry, the modeling and numerical simulation of turbulent flows are rich with history and modern relevance. The complexity of the problems that arise in the study of turbulence requires tools from various scientific disciplines, including mathematics, physics, engineering and computer science.

Posted by **libr** at April 9, 2017

English | 2012 | ISBN: 0691151229 | 472 pages | PDF | 9,5 MB

Posted by **nebulae** at April 9, 2017

English | ISBN: 0521116813 | 2012 | 280 pages | PDF | 2 MB

Posted by **naag** at April 4, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 38M | 751 MB

The SciPy Stack is a collection of Open-Source Python libraries finding their application in many areas of technical and scientific computing. It builds on the capabilities of the NumPy array object for faster computations, and contains modules and libraries for linear algebra, signal and image processing, visualization, and much more. Accordingly, gaining a solid working knowledge on some of the basic functionality of the SciPy Stack to solve mathematical models numerically is clearly the first step before one can start using it to tackle large-scale computational projects either in the industry or in the academic world.