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 **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.

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.

Posted by **leonardo78** at March 10, 2017

2001 | ISBN: 048641454X | 624 pages | DJVU | 4,9 MB

This outstanding text by two well-known authors treats numerical analysis with mathematical rigor, but presents relatively few theorems and proofs. Oriented toward computer solutions of problems, it stresses errors in methods and computational efficiency, and it compares different solutions to the same problem.

Posted by **interes** at Feb. 27, 2017

English | Jan 1 1989 | ISBN: 0070552215 | 479 pages | PDF | 6 MB

Posted by **AvaxGenius** at Feb. 27, 2017

This introductory book directs the reader to a selection of useful elementary numerical algorithms on a reasonably sound theoretical basis, built up within the text. The primary aim is to develop algorithmic thinking-emphasizing long-living computational concepts over fast changing software issues.