Numerical Method And Programming Python

A Primer on Scientific Programming with Python (5th edition)  eBooks & eLearning

Posted by naag at March 21, 2017
A Primer on Scientific Programming with Python (5th edition)

Hans Petter Langtangen, "A Primer on Scientific Programming with Python (5th edition)"
2016 | ISBN-10: 3662498863 | 922 pages | EPUB | 1.26 MB

A Primer on Scientific Programming with Python (5th edition) (repost)  eBooks & eLearning

Posted by roxul at Jan. 9, 2017
A Primer on Scientific Programming with Python (5th edition) (repost)

Hans Petter Langtangen, "A Primer on Scientific Programming with Python (5th edition)"
2016 | ISBN-10: 3662498863 | 922 pages | PDF | 9 MB

A Primer on Scientific Programming with Python (5th edition)  eBooks & eLearning

Posted by arundhati at Nov. 21, 2016
A Primer on Scientific Programming with Python (5th edition)

Hans Petter Langtangen, "A Primer on Scientific Programming with Python (5th edition)"
2016 | ISBN-10: 3662498863 | 922 pages | PDF | 9 MB

Introduction to Computer Science and Programming using Python (Repost)  eBooks & eLearning

Posted by Polik88 at Sept. 27, 2014
Introduction to Computer Science and Programming using Python (Repost)

Introduction to Computer Science and Programming using Python (Repost)
English | MP4 | 640x480 | AVC 768 Kbps 29.970 fps | AAC 80 Kbps 44.1 khz | 32h 34mn | 7.8 GB
Sample Files: present
Genre: Video Training

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language.
Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB (repost)

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB by Alexander Stanoyevitch
English | 2005 | ISBN-10: 0471697389 | 832 pages | PDF | 37 MB

An Introduction to Numerical Methods and Analysis (2nd Edition) (repost)  eBooks & eLearning

Posted by roxul at May 22, 2017
An Introduction to Numerical Methods and Analysis (2nd Edition) (repost)

James F. Epperson, "An Introduction to Numerical Methods and Analysis (2nd Edition)"
2014 | ISBN-10: 1118367596 | 614 pages | PDF | 22 MB

Numerical Weather and Climate Prediction (repost)  eBooks & eLearning

Posted by libr at May 18, 2017
Numerical Weather and Climate Prediction (repost)

Numerical Weather and Climate Prediction by Thomas Tomkins Warner
English | 2011-01-17 | ISBN: 0521513898 | 550 pages | PDF | 7,2 mb
Riemann-Hilbert Problems, Their Numerical Solution, and the Computation of Nonlinear Special Functions

Riemann-Hilbert Problems, Their Numerical Solution, and the Computation of Nonlinear Special Functions by Thomas Trogdon
English | 2015 | ISBN: 1611974194, 9781611974195 | 391 Pages | PDF | 12.58 MB

Numerical Methods and Optimization: An Introduction (Repost)  eBooks & eLearning

Posted by thingska at May 7, 2017
Numerical Methods and Optimization: An Introduction (Repost)

Numerical Methods and Optimization: An Introduction (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series) by Sergiy Butenko
English | 2014 | ISBN: 1466577770, 9781466577770 | 412 Pages | PDF | 2.60 MB
Parallel Algorithms (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Parallel Algorithms (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series) by Henri Casanova
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.