n Umerical Methods For Scientific Computing Kyle Novak
Julia Programming: High-Performance Language for Scientific Computing and Data Analysis eBooks & eLearning
Posted by TiranaDok at Jan. 24, 2025
Julia Programming: High-Performance Language for Scientific Computing and Data Analysis with Multiple Dispatch and Dynamic Typing by Theophilus Edet
English | October 6, 2024 | ISBN: N/A | ASIN: B0DH92CZBN | 637 pages | EPUB | 1.42 Mb
English | October 6, 2024 | ISBN: N/A | ASIN: B0DH92CZBN | 637 pages | EPUB | 1.42 Mb
Modern Methods in Scientific Computing and Applications eBooks & eLearning
Posted by step778 at June 8, 2016
Gert Sabidussi, Anne Bourlioux, Martin Gander, "Modern Methods in Scientific Computing and Applications"
2002 | pages: 502 | ISBN: 1402007825 | DJVU | 5,8 mb
2002 | pages: 502 | ISBN: 1402007825 | DJVU | 5,8 mb
Numerical Methods in Scientific Computing eBooks & eLearning
Posted by readerXXI at Oct. 24, 2023
Numerical Methods in Scientific Computing
by Jos van Kan, Guus Segal
English | 2023 | ISBN: 9789463667401 | 303 Pages | True PDF | 3 MB
by Jos van Kan, Guus Segal
English | 2023 | ISBN: 9789463667401 | 303 Pages | True PDF | 3 MB
Numerical Methods in Scientific Computing: Volume 1 eBooks & eLearning
Posted by step778 at May 16, 2018
Germund Dahlquist, Åke Björck, "Numerical Methods in Scientific Computing: Volume 1"
2008 | pages: 746 | ISBN: 0898716446 | PDF | 5,3 mb
2008 | pages: 746 | ISBN: 0898716446 | PDF | 5,3 mb
Mathematical Principles for Scientific Computing and Visualization (Repost) eBooks & eLearning
Posted by roxul at Jan. 26, 2015
Gerald Farin, Dianne Hansford, "Mathematical Principles for Scientific Computing and Visualization"
English | 2009 | ISBN-10: 156881321X | 280 pages | PDF | 7,4 MB
English | 2009 | ISBN-10: 156881321X | 280 pages | PDF | 7,4 MB
"MATLAB: A Fundamental Tool for Scientific Computing and Engineering Applications, Volume 2" ed. by Vasilios N. Katsikis eBooks & eLearning
Posted by exLib at April 10, 2015
"MATLAB: A Fundamental Tool for Scientific Computing and Engineering Applications, Volume 2" ed. by Vasilios N. Katsikis
InTeOp | 2012 | ISBN: 9535107518 9789535107514 | 322 pages | PDF | 12 MB
InTeOp | 2012 | ISBN: 9535107518 9789535107514 | 322 pages | PDF | 12 MB
This excellent book represents the second part of three-volumes regarding MATLAB-based applications in almost every branch of science.
Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing: Proceedings of a conference at the University of Nevada, Las eBooks & eLearning
Posted by insetes at Nov. 29, 2024
Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing: Proceedings of a conference at the University of Nevada, Las Vegas, Nevada, USA, June 23–25, 1994 By Russel E. Caflisch, Bradley Moskowitz (auth.), Harald Niederreiter, Peter Jau-Shyong Shiue (eds.)
1995 | 372 Pages | ISBN: 0387945776 | PDF | 12 MB
1995 | 372 Pages | ISBN: 0387945776 | PDF | 12 MB
Mathematical Principles for Scientific Computing and Visualization eBooks & eLearning
Posted by arundhati at Nov. 15, 2013
Gerald Farin, Dianne Hansford, "Mathematical Principles for Scientific Computing and Visualization"
2009 | ISBN-10: 156881321X | 280 pages | PDF | 7,4 MB
2009 | ISBN-10: 156881321X | 280 pages | PDF | 7,4 MB
Mathematical Principles for Scientific Computing and Visualization eBooks & eLearning
Posted by arundhati at Feb. 5, 2019
Gerald Farin, Dianne Hansford, "Mathematical Principles for Scientific Computing and Visualization"
2009 | ISBN-10: 156881321X | 280 pages | PDF | 7,4 MB
2009 | ISBN-10: 156881321X | 280 pages | PDF | 7,4 MB
Modeling with Data: Tools and Techniques for Scientific Computing by Ben Klemens [Repost] eBooks & eLearning
Posted by Free butterfly at Sept. 25, 2014
![Modeling with Data: Tools and Techniques for Scientific Computing by Ben Klemens [Repost]](https://pixhost.icu/avaxhome/bb/f4/0027f4bb_medium.jpeg)
Modeling with Data: Tools and Techniques for Scientific Computing by Ben Klemens
Princeton University Press | October 26, 2008 | English | ISBN: 069113314X | 471 pages | PDF | 3 MB
Princeton University Press | October 26, 2008 | English | ISBN: 069113314X | 471 pages | PDF | 3 MB
Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results.