Python For Scientific Computing

Parallel Processing for Scientific Computing (Software, Environments and Tools) (repost)

Parallel Processing for Scientific Computing (Software, Environments and Tools) by Michael A. Heroux, Padma Raghavan and Horst D. Simon
English | November 1, 2006 | ISBN-10: 0898716195 | 397 pages | DJVU | 4.7 Mb

Modern Software Tools for Scientific Computing by A. Bruaset  

Posted by tanas.olesya at July 12, 2015
Modern Software Tools for Scientific Computing by A. Bruaset

Modern Software Tools for Scientific Computing by A. Bruaset
English | Apr 1, 1997 | ISBN: 1461273684 | 385 Pages | PDF | 23 MB

Looking back at the years that have passed since the realization of the very first electronic, multi-purpose computers, one observes a tremendous growth in hardware and software performance.
"MATLAB: A Fundamental Tool for Scientific Computing and Engineering Applications, Volume 3" ed. by Vasilios N. Katsikis

"MATLAB: A Fundamental Tool for Scientific Computing and Engineering Applications, Volume 3" ed. by Vasilios N. Katsikis
InTeOp | 2012 | ISBN: 9535107526 9789535107521 | 498 pages | PDF | 18 MB

This excellent book represents the final part of three-volumes regarding MATLAB-based applications in almost every branch of science.
"MATLAB: A Fundamental Tool for Scientific Computing and Engineering Applications, Volume 2" ed. by Vasilios N. Katsikis

"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

This excellent book represents the second part of three-volumes regarding MATLAB-based applications in almost every branch of science.
"MATLAB: A Fundamental Tool for Scientific Computing and Engineering Applications, Volume 1" ed. by Vasilios N. Katsikis

"MATLAB: A Fundamental Tool for Scientific Computing and Engineering Applications, Volume 1" ed. by Vasilios N. Katsikis
InTeOp | 2012 | ISBN: 953510750X 9789535107507 | 533 pages | PDF | 25 MB

This is the first book in a three-volume series deploying MATLAB-based applications in almost every branch of science. This volume, presents interesting topics from different areas of engineering, signal and image processing based on the MATLAB environment.
Mathematical Principles for Scientific Computing and Visualization (Repost)

Gerald Farin, Dianne Hansford, "Mathematical Principles for Scientific Computing and Visualization"
English | 2009 | ISBN-10: 156881321X | 280 pages | PDF | 7,4 MB
Modeling with Data: Tools and Techniques for Scientific Computing by Ben Klemens [Repost]

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

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.
Parallel Processing for Scientific Computing (Software, Environments and Tools) (repost)

Parallel Processing for Scientific Computing (Software, Environments and Tools) by Michael A. Heroux, Padma Raghavan and Horst D. Simon
English | November 1, 2006 | ISBN-10: 0898716195 | 397 pages | DJVU | 4.7 Mb

Software, Environments, and Tools 20.
Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well understood: experiments give insight into possible theories, theories inspire experiments, experiments reinforce or invalidate theories, and so on.
Mathematical Principles for Scientific Computing and Visualization

Gerald Farin, Dianne Hansford, "Mathematical Principles for Scientific Computing and Visualization"
2009 | ISBN-10: 156881321X | 280 pages | PDF | 7,4 MB
Modeling with Data: Tools and Techniques for Scientific Computing (repost)

Ben Klemens, "Modeling with Data: Tools and Techniques for Scientific Computing"
English | 2009 | ISBN: 069113314X | 471 pages | PDF | 3,7 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.