Short Course in Computational Science and Engineering - Info and Reading Options
C++, Java and Octave Numerical Programming with Free Software Tools
By David Yevick
"Short Course in Computational Science and Engineering" was published by Cambridge University Press in 2012 - New York, it has 1 pages and the language of the book is English.
“Short Course in Computational Science and Engineering” Metadata:
- Title: ➤ Short Course in Computational Science and Engineering
- Author: David Yevick
- Language: English
- Number of Pages: 1
- Publisher: Cambridge University Press
- Publish Date: 2012
- Publish Location: New York
“Short Course in Computational Science and Engineering” Subjects and Themes:
- Subjects: Textbooks - SCIENCE / Mathematical Physics - Computer programming - Computer science
Edition Identifiers:
- The Open Library ID: OL40483885M - OL16342460W
- ISBN-13: 9781139230223 - 9781139233224 - 9781139022262
- All ISBNs: 9781139230223 - 9781139233224 - 9781139022262
AI-generated Review of “Short Course in Computational Science and Engineering”:
"Short Course in Computational Science and Engineering" Description:
Open Data:
"Building on his highly successful textbook on C++, David Yevick provides a concise yet comprehensive one-stop course in three key programming languages, C++, Java and Octave (a freeware alternative to MATLAB). Employing only public-domain software to ensure straightforward implementation for all readers, this book presents a unique overview of numerical and programming techniques relevant to scientific programming, including object-oriented programming, elementary and advanced topics in numerical analysis, physical system modeling, scientific graphics, software engineering and performance issues. Relevant features of each programming language are illustrated with short, incisive examples, and the installation and application of the software is described in detail. Compact, transparent code in all three programming languages is applied to the fundamental equations of quantum mechanics, electromagnetics, mechanics and statistical mechanics. Uncommented versions of the code that can be immediately modified and adapted are provided online for the more involved programs. This compact, practical text is an invaluable introduction for students in all undergraduate- and graduate-level courses in the physical sciences or engineering that require numerical modeling, and also a key reference for instructors and scientific programmers"--
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