Posted by **AlenMiler** at Oct. 25, 2017

English | 23 Oct. 2017 | ISBN: 1784393878 | ASIN: B06W2LXLQK | 538 Pages | AZW3 | 21.43 MB

Posted by **ChrisRedfield** at Nov. 22, 2017

Published: 2015-04-28 | ISBN: 331906052X, 3319359266 | PDF | 325 pages | 12.68 MB

Posted by **AlenMiler** at Dec. 29, 2016

English | 23 Dec. 2016 | ISBN: 1786463512 | 332 Pages | AZW3/MOBI/EPUB/PDF (conv) | 17.95 MB

Posted by **libr** at Dec. 12, 2015

English | November 1, 2006 | ISBN-10: 0898716195 | 397 pages | DJVU | 4.7 Mb

Posted by **tanas.olesya** at July 12, 2015

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.

Posted by **exLib** at April 10, 2015

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.

Posted by **exLib** at April 10, 2015

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.

Posted by **exLib** at April 10, 2015

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.

Posted by **roxul** at Jan. 26, 2015

English | 2009 | ISBN-10: 156881321X | 280 pages | PDF | 7,4 MB

Posted by **tanas.olesya** at Sept. 25, 2014

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.