Guide to scientific computing in C++
Resource Information
The work Guide to scientific computing in C++ represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Guide to scientific computing in C++
Resource Information
The work Guide to scientific computing in C++ represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
- Label
- Guide to scientific computing in C++
- Statement of responsibility
- Joe Pitt-Francis, Jonathan Whiteley
- Subject
-
- C++ (Computer program language)
- C++ (Computer program language)
- Computer science.
- Computer simulation.
- Electronic data processing.
- Informatique
- Math Applications in Computer Science.
- Numeric Computing.
- Programming Languages, Compilers, Interpreters.
- Programming Techniques.
- Science -- Data processing
- Science -- Data processing
- Science -- Data processing
- Simulation and Modeling.
- Software engineering.
- C++ (Computer program language)
- Language
- eng
- Summary
- The computational demands of modern-day simulation software needed across a range of diverse scientific disciplines lead many programmers 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. 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 MPIStresses the importance of a clear programming style to minimize the introduction of errors into codePresents a practical introduction to procedural programming in C++, covering variables, flow of control, input and output, pointers, functions, and reference variablesExhibits the efficacy of classes, highlighting the main features of object-orientationExamines more advanced C++ features, such as templates and exceptionsSupplies useful tips and examples throughout the text, together with chapter-ending exercises, and code available to download from http://www.springer.com/978-1-4471-2735-2This 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
- Cataloging source
- GW5XE
- Dewey number
- 005.13/3
- Index
- index present
- LC call number
- QA76.73.C153
- LC item number
- P58 2012
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- Series statement
- Undergraduate topics in computer science,
Context
Context of Guide to scientific computing in C++Work of
No resources found
No enriched resources found
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/Hq9t6aQfsEk/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/Hq9t6aQfsEk/">Guide to scientific computing in C++</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Work Guide to scientific computing in C++
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/Hq9t6aQfsEk/" typeof="CreativeWork http://bibfra.me/vocab/lite/Work"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/Hq9t6aQfsEk/">Guide to scientific computing in C++</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>