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Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python

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Book Series: Texts in Computational Science and Engineering ISSN: 1611-0994 ISBN: 9783319324272 9783319324289 Volume: 15 Pages: 232 DOI: 10.1007/978-3-319-32428-9 Language: English
Publisher: Springer
Subject: Computer Science
Added to DOAB on : 2017-02-03 18:19:48
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Numerical simulations;programming;Python

Programming for Computations - MATLAB/Octave

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Book Series: Texts in Computational Science and Engineering ISSN: 1611-0994 ISBN: 9783319324517 9783319324524 Year: Volume: 14 Pages: 216 DOI: 10.1007/978-3-319-32452-4 Language: English
Publisher: Springer
Subject: Computer Science
Added to DOAB on : 2017-02-03 18:31:09
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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. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.

Finite Difference Computing with PDEs: A Modern Software Approach

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Book Series: Texts in Computational Science and Engineering ISSN: 1611-0994 / 2197-179X ISBN: 9783319554556 9783319554563 Year: Pages: 507 DOI: https://doi.org/10.1007/978-3-319-55456-3 Language: English
Publisher: Springer
Subject: Computer Science
Added to DOAB on : 2017-11-24 13:03:18
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This easy-to-read book introduces the basics of solving partial differential equations by means of finite difference methods. Unlike many of the traditional academic works on the topic, this book was written for practitioners. Accordingly, it especially addresses: the construction of finite difference schemes, formulation and implementation of algorithms, verification of implementations, analyses of physical behavior as implied by the numerical solutions, and how to apply the methods and software to solve problems in the fields of physics and biology.

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