Authors:
- 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
- Updated new edition including additional material on software testing, and on some new features introduced in modern C++ standards such as C++11
- Includes supplementary material: sn.pub/extras
Part of the book series: Undergraduate Topics in Computer Science (UTICS)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
This simple-to-follow textbook/reference provides an invaluable guide to object-oriented C++ programming for scientific computing. Through a series of clear and concise discussions, the key features most useful to the novice programmer are explored, enabling the reader to quickly master the basics and build the confidence to investigate less well-used features when needed. The text presents a hands-on approach that emphasizes the benefits of learning by example, stressing the importance of a clear programming style to minimise the introduction of errors into the code, and offering an extensive selection of practice exercises.
This updated and enhanced new edition includes additional material on software testing, and on some new features introduced in modern C++ standards such as C++11.
Authors and Affiliations
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University of Oxford, Oxford, United Kingdom
Joe Pitt-Francis, Jonathan Whiteley
About the authors
Dr. Joe Pitt-Francis is a Departmental Lecturer at the Department of Computer Science and teaches Computer Science at Exeter College, the University of Oxford, UK.
Prof. Jonathan Whiteley is Associate Professor at the Department of Computer Science and Governing Body Fellow of Linacre College, the University of Oxford, UK.
Bibliographic Information
Book Title: Guide to Scientific Computing in C++
Authors: Joe Pitt-Francis, Jonathan Whiteley
Series Title: Undergraduate Topics in Computer Science
DOI: https://doi.org/10.1007/978-3-319-73132-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Softcover ISBN: 978-3-319-73131-5Published: 05 April 2018
eBook ISBN: 978-3-319-73132-2Published: 26 March 2018
Series ISSN: 1863-7310
Series E-ISSN: 2197-1781
Edition Number: 2
Number of Pages: XIV, 287
Number of Illustrations: 11 b/w illustrations
Topics: Programming Techniques, Numeric Computing, Simulation and Modeling, Programming Languages, Compilers, Interpreters, Math Applications in Computer Science, Software Engineering