Posted by **interes** at Jan. 8, 2017

English | 2015 | ISBN: 1305253663 | 896 pages | PDF | 129 MB

Posted by **interes** at March 2, 2015

English | 2000 | ISBN: 0534382169 | 864 pages | Djvu | 7,3 MB

Posted by **ChrisRedfield** at Oct. 25, 2014

Published: 2010-08-09 | ISBN: 0538733519 | PDF | 888 pages | 14 MB

Posted by **libr** at Jan. 27, 2014

English | 2000 | ISBN: 0534382169 | 864 pages | Djvu | 7,3 MB

The new Seventh Edition of Burden and Faires' well-respected Numerical Analysis provides a foundation in modern numerical-approximation techniques. Explaining how, why, and when the techniques can be expected to work, the Seventh Edition places an even greater emphasis on building readers' intuition to help them understand why the techniques presented work in general, and why, in some situations, they fail.

Posted by **libr** at Jan. 9, 2014

English | 2010 | ISBN: 0538733519 | 888 pages | PDF | 14,5 MB

This well-respected text gives an introduction to the theory and application of modern numerical approximation techniques for students taking a one- or two-semester course in numerical analysis. With an accessible treatment that only requires a calculus prerequisite, Burden and Faires explain how, why, and when approximation techniques can be expected to work, and why, in some situations, they fail.

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 **lengen** at April 18, 2017

English | July 17, 2008 | ISBN: 1584889454 | 348 Pages | PDF | 3 MB

Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment of theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and essential notions of scheduling. The book extracts fundamental ideas and algorithmic principles from the mass of parallel algorithm expertise and practical implementations developed over the last few decades.

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.