Introduction to Numerical

Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++

Titus A. Beu, "Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++"
English | ISBN: 1466569670 | 2015 | 674 pages | PDF | 8 MB

An Introduction to Numerical Analysis (Repost)  eBooks & eLearning

Posted by step778 at Feb. 13, 2017
An Introduction to Numerical Analysis (Repost)

Endre Süli, David F. Mayers, "An Introduction to Numerical Analysis"
2003 | pages: 444 | ISBN: 0521007941 | PDF | 4,3 mb
Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python (Texts in Computational Science and Engineering) by Svein Linge
English | 4 Aug. 2016 | ISBN: 3319324276 | 250 Pages | EPUB | 3.28 MB

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.
Programming for Computations - MATLAB/Octave: A Gentle Introduction to Numerical Simulations with MATLAB/Octave

Programming for Computations - MATLAB/Octave: A Gentle Introduction to Numerical Simulations with MATLAB/Octave (Texts in Computational Science and Engineering) by Svein Linge
English | 10 Aug. 2016 | ISBN: 3319324519 | 234 Pages | EPUB | 3.16 MB

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.
Programming for Computations - MATLAB/Octave: A Gentle Introduction to Numerical Simulations with MATLAB/Octave

Programming for Computations - MATLAB/Octave: A Gentle Introduction to Numerical Simulations with MATLAB/Octave By Svein Linge, Hans Petter Langtangen
English | PDF | 228 Pages | 2016 | ISBN : 3319324519 | 4.12 MB

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python.

Introduction to Numerical Electrostatics Using MATLAB (repost)  eBooks & eLearning

Posted by interes at Dec. 14, 2016
Introduction to Numerical Electrostatics Using MATLAB (repost)

Introduction to Numerical Electrostatics Using MATLAB by Lawrence N. Dworsky
English | 2014 | ISBN: 1118449746 | 456 Pages | PDF | 7 MB

A Concise Introduction to Numerical Analysis  eBooks & eLearning

Posted by arundhati at Dec. 8, 2016
A Concise Introduction to Numerical Analysis

A. C. Faul, "A Concise Introduction to Numerical Analysis"
2016 | ISBN-10: 1498712185 | 308 pages | EPUB | 2 MB
Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python (Texts in Computational Science and Engineering) by Svein Linge and Hans Petter Langtangen
English | 2016 | ISBN: 3319324276 | 232 pages | PDF | 4 MB

Introduction to Numerical Methods for Time Dependent Differential Equations  eBooks & eLearning

Posted by roxul at June 15, 2016
Introduction to Numerical Methods for Time Dependent Differential Equations

Heinz-Otto Kreiss, Omar Eduardo Ortiz, "Introduction to Numerical Methods for Time Dependent Differential Equations"
English | ISBN: 1118838955 | 2014 | 192 pages | PDF | 5 MB

Introduction to Numerical Analysis [Repost]  eBooks & eLearning

Posted by tanas.olesya at March 6, 2016
Introduction to Numerical Analysis [Repost]

Introduction to Numerical Analysis by R.Bulirsch
English | 1996 | ISBN: 038797878X | 674 Pages | PDF | 29 MB

The book contains a large amount of information not found in standard textbooks. Written for the advanced undergraduate/beginning graduate student, it combines the modern mathematical standards of numerical analysis with an understanding of the needs of the computer scientist working on practical applications.