Guide to Scientific Computing in C++
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ISBN/EAN:
9781447127369
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 of control, 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.
Dr Joe Pitt-Francis is a Senior Research Fellow at the Department of Computer Science and teaches Computer Science at Exeter College, the University of Oxford, UK.
Dr Jonathan Whiteley is a University Lecturer at the Department of Computer Science and Governing Body Fellow of Linacre College, the University of Oxford, UK.
Dr Joe Pitt-Francis is a Senior Research Fellow at the Department of Computer Science and teaches Computer Science at Exeter College, the University of Oxford, UK.
Dr Jonathan Whiteley is a University Lecturer at the Department of Computer Science and Governing Body Fellow of Linacre College, the University of Oxford, UK.
Autor: | Joe Pitt-Francis, Jonathan Whiteley |
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EAN: | 9781447127369 |
eBook Format: | |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 18.02.2012 |
Kategorie: | |
Schlagworte: | A C++ Programming Compilers Interpreters MPI Math Applications Numeric Computing Numerical Methods Object-Oriented Programming Parallel Programming Programming Languages Programming Techniques Scientific Computing Simulation and Modeling |
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