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Guide to Scientific Computing in C++

Guide to Scientific Computing in C++ Author : Joe Pitt-Francis, Jonathan Whiteley
Publisher : Springer Science & Business Media
Pub Date : 2012-02-18
Page : 250
Language : en
Rating :

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The computational demands of modern-day simulation software needed across a range of diverse scientific disciplines lead many programmers to choose to write their code in an object-oriented language such as C++.

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 of both the C++ language and standard libraries are highlighted via the development of classes of vectors and matrices, allowing demonstration of key concepts such as inheritance, encapsulation, operator overloading, templates, and exception handling. The text then explains how these classes can be adapted for parallel computing, before demonstrating how a flexible, extensible library can be written for the numerical solution of differential equations.

Topics and 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 www.springer.com.

This clearly written textbook is a “must-read” for programmers of all levels of expertise. Basic familiarity with concepts such as operations between vectors and matrices, and the Newton-Raphson method for finding the roots of non-linear equations, would be an advantage, but extensive knowledge of the underlying mathematics is not assumed.


Guide To Scientific Computing In C


Author by : Joe Pitt-Francis
Languange Used : en
Release Date : 2012-02-18
Publisher by : Springer Science & Business Media


Description : 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 ...

Read Online the Book



Guide To Scientific Computing In C


Author by : Joe Pitt-Francis
Languange Used : en
Release Date : 2012-02-15
Publisher by : Springer Science & Business Media


Description : 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 ...

Read Online the Book



Guide To Scientific Computing


Author by : Peter R. Turner
Languange Used : en
Release Date : 2001
Publisher by : CRC Press


Description : Guide to Scientific Computing provides an introduction to the many problems of scientific computing, as well as the wide variety of methods used for their solution. It is ideal for anyone who needs an...

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Writing Scientific Software


Author by : Suely Oliveira
Languange Used : en
Release Date : 2006-09-07
Publisher by : Cambridge University Press


Description : The core of scientific computing is designing, writing, testing, debugging and modifying numerical software for application to a vast range of areas: from graphics, meteorology and chemistry to engine...

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