A Short Course in Computational Science and Engineering
C++, Java and Octave Numerical Programming with Free Software Tools

A concise, comprehensive one-stop overview of three key programming languages, C++, Java and Octave, for students, instructors and scientific programmers.

David Yevick (Author)

9780521116817, Cambridge University Press

Hardback, published 24 May 2012

280 pages, 5 b/w illus.
25.2 x 19.2 x 1.7 cm, 0.75 kg

'I recommend this book as a fine all-in-one package of essentials for those who use computation in their scientific or engineering endeavors.' George Hacken, Computing Reviews

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.

1. Introduction
2. Octave programming
3. Installing and running the Dev-C++ programming environment
4. Introduction to computer and software architecture
5. Fundamental concepts
6. Procedural programming basics
7. An introduction to object-oriented analysis
8. C++ object-oriented programming syntax
9. Arrays and matrices
10. Input and output stream
11. References
12. Pointers and dynamic memory allocation
13. Memory management
14. The static keyword, multiple and virtual inheritance, templates and the STL library
15. Creating a Java development environment
16. Basic Java programming constructs
17. Java classes and objects
18. Advanced Java features
19. Introductory numerical analysis
20. Linear algebra
21. Fourier transforms
22. Differential equations
23. Monte-Carlo methods
24. Parabolic partial differential equation solvers
Index.

Subject Areas: Computer science [UY], Computing & information technology [U], Mathematics & science [P]