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

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

Posted by **Grev27** at Jan. 7, 2018

English | ISBN: 9813224150, 9813222719 | 2017 | EPUB | 164 pages | 5,3 MB

Posted by **DZ123** at Nov. 13, 2017

English | 2009 | ISBN: 1441904573 | PDF | pages: 625 | 2.8 mb

Posted by **Jeembo** at Jan. 17, 2018

English | 2017 | ISBN: 3319496301 | 254 Pages | PDF | 5.5 MB

The first part of this volume gathers the lecture notes of the courses of the “XVII Escuela Hispano-Francesa”, held in Gijón, Spain, in June 2016.

Posted by **hill0** at Dec. 30, 2017

English | 2 Feb. 2018 | ISBN: 3319711555 | 300 Pages | PDF | 3.06 MB

This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures,

Posted by **hill0** at Dec. 12, 2017

English | 9 Sept. 2014 | ISBN: 1484202961 | 244 Pages | EPUB | 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.

Posted by **ChrisRedfield** at Dec. 11, 2017

Published: 1989-06-05 | ISBN: 3540511067, 3662137577, 0387137577 | PDF | 154 pages | 2.6 MB

Posted by **AvaxGenius** at Dec. 5, 2017

English | EPUB | 2015 | 314 Pages | ISBN : 3319167383 | 4.09 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 **leonardo78** at Nov. 27, 2017

Language: English | 2006 | ISBN: 007313290X | 608 pages | PDF (scan) | 28,8 MB

Still brief - but with the chapters that you wanted - Steven Chapra’s new second edition is written for engineering and science students who need to learn numerical problem solving.

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

English | PDF,EPUB | 2017 | 310 Pages | ISBN : 1493973916 | 19.1 MB

The first of its kind, this focused textbook serves as a self-contained resource for teaching from scratch the fundamental mathematics of Fourier analysis and illustrating some of its most current, interesting applications, including medical imaging and radar processing. Developed by the author from extensive classroom teaching experience, it provides a breadth of theory that allows students to appreciate the utility of the subject, but at as accessible a depth as possible.