Posted by **arundhati** at Oct. 8, 2017

1989 | ISBN-10: 0201115832 | 733 pages | PDF | 106 MB

Posted by **Underaglassmoon** at Sept. 15, 2017

Bentham | English | 2016 | ISBN-10: 1681083043 | 410 pages | PDF | 12 mb

.M. Cheng, H. Wong, C.J. Leo, C.K. Lau

Posted by **ksveta6** at Aug. 15, 2017

2017 | ISBN: 1498723632 | English | 277 pages | PDF | 5 MB

Posted by **libr** at June 24, 2017

English | 2001-10-01 | ISBN: 0521333237, 0521336104, 0511612915 | 365 pages | PDF | 2,8 mb

Posted by **libr** at May 21, 2017

English | 2010 | ISBN: 981283625X | 240 pages | PDF | 4,8 MB

Posted by **AvaxGenius** at April 22, 2017

English | EPUB | 2015 | 314 Pages | ISBN : 3319167383 | 4 MB

This is the first numerical analysis text to use Sage for the implementation of algorithms and can be used in a one-semester course for undergraduates in mathematics, math education, computer science/information technology, engineering, and physical sciences.

Posted by **thingska** at April 12, 2017

English | 2009 | ISBN: 1420091573, 9781420091571 | 628 Pages | PDF | 4.11 MB

Posted by **hill0** at April 12, 2017

English | 16 May 2017 | ISBN: 3319570986 | 785 Pages | PDF | 66.54 MB

This book constitutes thoroughly revised selected papers of the 6th International Conference on Numerical Analysis and Its Applications, NAA 2016, held in Lozenetz, Bulgaria, in June 2016. The 90 revised papers presented were carefully reviewed and selected from 98 submissions.

Posted by **AvaxGenius** at March 25, 2017

English | EPBU | 2014 | 244 Pages | ISBN : 1484202961 | 6.61 MB

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.

Posted by **Jeembo** at March 18, 2017

English | 2001 | ISBN: 0387951423 | 472 Pages | PDF | 3.6 MB

This book gives an introduction to functional analysis for graduate students pursuing research involving numerical analysis. The text covers basic results of functional analysis as well as additional topics needed in theoretical numerical analysis.