Posted by **AlenMiler** at Dec. 25, 2015

English | Aug. 21, 2015 | ISBN: 1942270429 | 312 Pages | AZW3/EPUB/PDF (conv) | 60.57 MB

COMSOL5 Multiphysics® is one of the most valuable software modeling tools for engineers and scientists. This book, an updated edition of the previously published, COMSOL for Engineers, covers COMSOL5 which now includes a revolutionary tool, the Application Builder.

Posted by **arundhati** at Dec. 10, 2017

2007 | ISBN: 007297687X | 621 pages | PDF | 68 MB

Posted by **arundhati** at Dec. 10, 2017

2008 | ISBN: 0521874831 | 408 pages | PDF | 4 MB

Posted by **AvaxGenius** at Dec. 7, 2017

English | PDF,EPUB | 2017 (2018 Edition) | 264 Pages | ISBN : 1484232038 | 4.99 MB

Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation.

Posted by **AvaxGenius** at Nov. 28, 2017

English | PDF,EPUB | 2017 | 222 Pages | ISBN : 1484231880 | 4.95 MB

Familiarize yourself with MATLAB using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting and working with files, numerical computation formalism, and the primary concepts of approximations. Introduction to MATLAB is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation.

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. 26, 2017

English | PDF,EPUB | 2017 | 359 Pages | ISBN : 1484231708 | 5.33 MB

Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing applications. This book explains how Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, MATLAB, SAS, or Stata combined with the speed, capacity, and performance of C, C++, or Java. You’ll learn the OOP principles required to get you started, then how to do basic mathematics with Julia. Other core functionality of Julia that you’ll cover, includes working with complex numbers, rational and irrational numbers, rings, and fields.

Posted by **AvaxGenius** at Nov. 26, 2017

English | PDF,EPUB | 2017 (2018 Edition) | 219 Pages | ISBN : 1484232003 | 4.61 MB

Familiarize yourself with Octave using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting, and working with files in Octave, which can run MATLAB files without modification. Introduction to Octave is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation.

Posted by **DZ123** at Nov. 12, 2017

English | 2006 | ISBN: 1598290584 | PDF | pages: 126 | 1.3 mb

Posted by **AvaxGenius** at Nov. 11, 2017

English | PDF,EPUB | 2017 | 203 Pages | ISBN : 1484231910 | 5.13 MB

Familiarize yourself with Scilab using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting, and working with files in Scilab. Introduction to Scilab is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation.