
A Short Course in Computational Science and Engineering
C++, Java and Octave Numerical Programming with Free Software Tools
- English
- PDF
- Available on iOS & Android
A Short Course in Computational Science and Engineering
C++, Java and Octave Numerical Programming with Free Software Tools
About this book
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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Information
Table of contents
- Cover
- A Short Course in Computational Science and Engineering
- Title
- Copyright
- Contents
- Chapter 1: Introduction
- Chapter 2: Octave programming
- Chapter 3: Installing and running the Dev-C++ programming environment
- Chapter 4: Introduction to computer and software architecture
- Chapter 5: Fundamental concepts
- Chapter 6: Procedural programming basics
- Chapter 7: An introduction to object-oriented analysis
- Chapter 8: C++ object-oriented programming syntax
- Chapter 9: Arrays and matrices
- Chapter 10: Input and output streams
- Chapter 11: References
- Chapter 12: Pointers and dynamic memory allocation
- Chapter 13: Memory management
- Chapter 14: The static keyword, multiple and virtual inheritance, templates and the STL
- Chapter 15: Creating a Java development environment
- Chapter 16: Basic Java programming constructs
- Chapter 17: Java classes and objects
- Chapter 18: Advanced Java features
- Chapter 19: Introductory numerical analysis
- Chapter 20: Linear algebra
- Chapter 21: Fourier transforms
- Chapter 22: Differential equations
- Chapter 23: Monte Carlo methods
- Chapter 24: Partial differential equations
- Index