A Short Course In Computational Science And Engineering

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A Short Course in Computational Science and Engineering

Author: David Yevick
language: en
Publisher: Cambridge University Press
Release Date: 2012-05-24
A concise, comprehensive one-stop overview of three key programming languages, C++, Java and Octave, for students, instructors and scientific programmers.
Computational Science and Computational Intelligence

The CCIS book constitutes selected papers accepted in the Research Track on Education of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11–13, 2024. The 26 full papers included in this book were carefully reviewed and selected from a total of 155 submissions. They were organized in topical sections on subject-specific education and curriculum design; education and artificial intelligence; teaching and learning strategies and related reserach studies.
A Short Course in Computational Science and Engineering

"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"--