Short Course in Computational Science and Engineering - Info and Reading Options
By David Yevick
"Short Course in Computational Science and Engineering" was published by Cambridge University Press in 2012 - Cambridge New York Melbourne Madrid Cape Town Singapore São Paulo Delhi Mexico City, it has 282 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: 282
- Publisher: Cambridge University Press
- Publish Date: 2012
- Publish Location: ➤ Cambridge New York Melbourne Madrid Cape Town Singapore São Paulo Delhi Mexico City
“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: OL53953849M - OL16342460W
- ISBN-13: 9781280773471 - 9781139022262 - 9781139232456
- All ISBNs: 9781280773471 - 9781139022262 - 9781139232456
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, this book presents a unique overview of numerical and programming techniques, including object-oriented programming, elementary and advanced topics in numerical analysis, physical system modelling, scientific graphics, software engineering and performance issues. 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 modelling, and also a key reference for instructors and scientific programmers
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