This easy-to-read textbook/reference presents an essential guide to object-oriented C++ programming for scientific computing. With a practical focus on learning by example, the theory is supported by numerous exercises. Features: provides a specific focus on the application of C++ to scientific computing, including parallel computing using MPI; stresses the importance of a clear programming style to minimize the introduction of errors into code; presents a practical introduction to procedural programming in C++, covering variables, flow ofcontrol, input and output, pointers, functions, and reference variables; exhibits the efficacy of classes, highlighting the main features of object-orientation; examines more advanced C++ features, such as templates and exceptions; supplies useful tips and examples throughout the text, together with chapter-ending exercises, and code available to download from Springer. With an emphasis on the modularity of C++ programming. Includes an introduction to parallel programming using MPI. Covers the object-oriented design of a numerical library for solving differential equations. Provides numerous examples, chapter-ending exercises, and code available to download. INDICE: Getting Started. Flow of Control. File Input and Output. Pointers.Blocks, Functions and Reference Variables. An Introduction to Classes. Inheritance and Derived Classes. Templates. Errors and Exceptions. Developing Classes for Linear Algebra Calculations. An Introduction to Parallel Programming Using MPI. Designing Object- Oriented Numerical Libraries. Linear Algebra. Other Programming Constructs You Might Meet. Solutions to Exercises. Further Reading.
- ISBN: 978-1-4471-2735-2
- Editorial: Springer London
- Encuadernacion: Rústica
- Páginas: 250
- Fecha Publicación: 29/02/2012
- Nº Volúmenes: 1
- Idioma: Inglés