Posted by **step778** at May 23, 2017

2004 | pages: 431 | ISBN: 9812561250 | DJVU | 1,8 mb

Posted by **tot167** at March 23, 2008

World Scientific Publishing Company | 2004-11-28 | ISBN: 9812561250 | 420 pages | PDF | 9,8 Mb

Posted by **softhunt** at March 23, 2008

428370

by Willi-Hans Steeb, Yorick Hardy, Alexandre Hardy, Ruedi Stoop

" Problems & Solutions In Scientific Computing With C++ And Java Simulations"

Publisher: World Scientific Publishing Company | Pages:420 | Date:2004-11-28 | ISBN:981256125 | PDF | 9,77 Mb

" Problems & Solutions In Scientific Computing With C++ And Java Simulations"

Publisher: World Scientific Publishing Company | Pages:420 | Date:2004-11-28 | ISBN:981256125 | PDF | 9,77 Mb

Scientific computing is a collection of tools, techniques and theories required to develop and solve mathematical models in science and engineering on a computer. This timely book provides the various skills and techniques needed in scientific computing. The topics range in difficulty from elementary to advanced, and all the latest fields in scientific computing are covered such as matrices, numerical analysis, neural networks, genetic algorithms, etc.

Posted by **ChrisRedfield** at Jan. 20, 2017

Published: 2016-12-06 | ISBN: 1365583228, 1365583384 | PDF | 368 pages | 18.14 MB

Posted by **ChrisRedfield** at Feb. 13, 2014

Published: 2012-02-18 | ISBN: 1447127358 | PDF | 266 pages | 1 MB

Posted by **Veslefrikk** at Dec. 23, 2013

Publisher: S..in..r | ISBN: 1447127358 | 2012 | PDF | 262 pages | 2 MB

Posted by **tarantoga** at Feb. 18, 2012

Publisher: S..in..r | ISBN: 1447127358 | 2012 | PDF | 262 pages | 2 MB

Posted by **lout** at April 8, 2011

Publisher: C.R.C Press 2011 | 514 Pages | ISBN: 143982536X | PDF | 23 MB

Posted by **AlenMiler** at May 5, 2017

English | 27 Apr. 2016 | ASIN: B01ARXUY78 | 232 Pages | AZW3 | 2.8 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.