Scientific Computing With c

Problems and Solutions in Scientific Computing with C++ and Java Simulations (Repost)

Willi-Hans Steeb, Yorick Hardy, Alexandre Hardy, "Problems and Solutions in Scientific Computing with C++ and Java Simulations"
2004 | pages: 431 | ISBN: 9812561250 | DJVU | 1,8 mb

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

Posted by tot167 at March 23, 2008
Problems & Solutions In Scientific Computing With C++ And Java Simulations

Willi-Hans Steeb, Yorick Hardy, Alexandre Hardy, Ruedi Stoop “Problems & Solutions In Scientific Computing With C++ And Java Simulations"
World Scientific Publishing Company | 2004-11-28 | ISBN: 9812561250 | 420 pages | PDF | 9,8 Mb

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

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

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.
Computational Physics - A Practical Introduction to Computational Physics and Scientific Computing (using C++)

Konstantinos Anagnostopoulos - Computational Physics - A Practical Introduction to Computational Physics and Scientific Computing (using C++)
Published: 2016-12-06 | ISBN: 1365583228, 1365583384 | PDF | 368 pages | 18.14 MB

Guide to Scientific Computing in C++ [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Feb. 13, 2014
Guide to Scientific Computing in C++ [Repost]

Joe Pitt-Francis, ‎Jonathan Whiteley - Guide to Scientific Computing in C++
Published: 2012-02-18 | ISBN: 1447127358 | PDF | 266 pages | 1 MB

Guide to Scientific Computing in C++ (repost)  eBooks & eLearning

Posted by Veslefrikk at Dec. 23, 2013
Guide to Scientific Computing in C++ (repost)

Guide to Scientific Computing in C++
Publisher: S..in..r | ISBN: 1447127358 | 2012 | PDF | 262 pages | 2 MB

Guide to Scientific Computing in C++  eBooks & eLearning

Posted by tarantoga at Feb. 18, 2012
Guide to Scientific Computing in C++

Joe Pitt-Francis, Jonathan Whiteley, "Guide to Scientific Computing in C++"
Publisher: S..in..r | ISBN: 1447127358 | 2012 | PDF | 262 pages | 2 MB

Scientific Computing with Multicore and Accelerators  eBooks & eLearning

Posted by lout at April 8, 2011
Scientific Computing with Multicore and Accelerators

Scientific Computing with Multicore and Accelerators By Jakub Kurzak, David A. Bader, Jack Dongarra
Publisher: C.R.C Press 2011 | 514 Pages | ISBN: 143982536X | PDF | 23 MB

Scientific Computing with Scala  eBooks & eLearning

Posted by AlenMiler at May 5, 2017
Scientific Computing with Scala

Scientific Computing with Scala by Vytautas Jancauskas
English | 27 Apr. 2016 | ASIN: B01ARXUY78 | 232 Pages | AZW3 | 2.8 MB

Numerical and Scientific Computing with SciPy  eBooks & eLearning

Posted by naag at April 4, 2017
Numerical and Scientific Computing with SciPy

Numerical and Scientific Computing with SciPy
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 38M | 751 MB
Genre: eLearning | Language: English

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.