Scientific Computing With c

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
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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.

Scientific Computing with MATLAB [Repost]  eBooks & eLearning

Posted by tanas.olesya at Sept. 20, 2016
Scientific Computing with MATLAB [Repost]

Scientific Computing with MATLAB: Problems and Exercises Solved by MATLAB by Alfio Quarteroni
English | 18 Jun. 2003 | ISBN: 3540443630 | 267 Pages | PDF | 27 MB

This textbook is an introduction to Scientific Computing, in which several numerical methods for the computer solution of certain classes of mathematical problems are illustrated.
Classical and Quantum Computing: with C++ and Java Simulations (Repost)

Classical and Quantum Computing: with C++ and Java Simulations By Yorick Hardy, Willi H. Steeb
2002 | 606 Pages | ISBN: 3764366109 | PDF | 11 MB

Mastering Scientific Computing with R  

Posted by nebulae at March 3, 2015
Mastering Scientific Computing with R

Paul Gerrard, "Mastering Scientific Computing with R"
English | ISBN: 1783555254 | 2015 | 432 pages | PDF, EPUB | 4 + 24 MB
Scientific Computing with MATLAB and Octave (Texts in Computational Science and Engineering) by Fausto Saleri [Repost]

Scientific Computing with MATLAB and Octave (Texts in Computational Science and Engineering) by Fausto Saleri
English | Oct 5, 2006 | ISBN: 354032612X | 342 Pages | PDF | 7 MB

This textbook is an introduction to Scientific Computing, in which several numerical methods for the computer solution of certain classes of mathematical problems are illustrated.
Parallel Scientific Computing in C++ and MPI by George Em Karniadakis [Repost]

Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation by George Em Karniadakis
Cambridge University Press; PAP/CDR edition | June 16, 2003 | English | ISBN: 0521520800 | 697 pages | PDF | 13 MB

This book provides a seamless approach to numerical algorithms, modern programming techniques and parallel computing. These concepts and tools are usually taught serially across different courses and different textbooks, thus observing the connection between them.
Scientific Computing with Multicore and Accelerators (Repost)

Scientific Computing with Multicore and Accelerators By Jakub Kurzak, David A. Bader, Jack Dongarra
2010 | 471 Pages | ISBN: 143982536X | PDF | 96 MB
Scientific Computing with MATLAB and Octave (3rd edition) [Repost]

Alfio Quarteroni, Fausto Saleri, Paola Gervasio - Scientific Computing with MATLAB and Octave (3rd edition)
Published: 2010-06-29 | ISBN: 3642124291, 3642263941 | PDF | 360 pages | 4 MB
Scientific Computing with MATLAB and Octave 2nd Edition [Repost]

Scientific Computing with MATLAB and Octave 2nd Edition by Alfio Quarteroni
Springer | Oct 05 2006 | ISBN: 354032612x | Pages: 318 | PDF | 7.38 MB

This textbook is an introduction to Scientific Computing, in which several numerical methods for the computer solution of certain classes of mathematical problems are illustrated. The authors show how to compute the zeros or the integrals of continuous functions, solve linear systems, approximate functions by polynomials and construct accurate approximations for the solution of ordinary and partial differential equations. To make the presentation concrete and appealing, the programming environments Matlab and Octave, which is freely distributed, are adopted as faithful companions.