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Wiley C++ Scientific Programming: Computational Recipes at a Higher Level

Name: C++ Scientific Programming: Computational Recipes at a Higher Level
Brand: Wiley
Price: 81.67 GBP
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Introduction to Programming

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Description

Teaches the design of programs for scientific computation in C++Introduces unique C++ classes, defines the particular relationships among these classes, and demonstrates their use in a dozen of the most powerful current applicationsPresents a set of practices that allows programmers to embrace the attractive features of C++ without incurring undesired side effects and hidden costs Includes a collection of source code files downloadable from the Wiley ftp site Originally announced as Scientific Program Design: C++ for Native Fortran Writers Review "...teaches the design of programs for scientific computation in C++." (SciTech Book News, Vol. 25, No. 4, December 2001) "With a view to teaching the design of programs...the author introduces unique C++ classes for vectors, dense matrices, and sparse matrices...demonstrates their use..." (Mechanical Engineering, www.wemagazine.org, April 2, 2002) From the Inside Flap An introduction to advanced C++, specialized for scientific programmers C++ Scientific Programming teaches the design of programs for scientific computation in C++. It introduces unique C++ classes for vectors, dense matrices, and sparse matrices, and defines the particular relationships among these classes. It then demonstrates how to use these fundamental classes in a dozen of the most powerful current applications. The author limits the scope of the book to features that are specifically useful to scientific programmers. He presents a set of practices that allows programmers to embrace the attractive features of C++ without incurring undesired side effects and hidden costs. He illustrates these practices by implementing major contemporary numerical methods and providing examples for execution with a C++ compiler. A collection of source code files correlated with the content of the book can be downloaded from the Wiley ftp site. C++ Scientific Programming shows how C++ improves on both FORTRAN and C and affords greater convenience and efficiency in coding mathematics. It serves as a vital companion to more general C++ texts and treats the unique needs of scientific programmers. From the Back Cover An introduction to advanced C++, specialized for scientific programmers C++ Scientific Programming teaches the design of programs for scientific computation in C++. It introduces unique C++ classes for vectors, dense matrices, and sparse matrices, and defines the particular relationships among these classes. It then demonstrates how to use these fundamental classes in a dozen of the most powerful current applications. The author limits the scope of the book to features that are specifically useful to scientific programmers. He presents a set of practices that allows programmers to embrace the attractive features of C++ without incurring undesired side effects and hidden costs. He illustrates these practices by implementing major contemporary numerical methods and providing examples for execution with a C++ compiler. A collection of source code files correlated with the content of the book can be downloaded from the Wiley ftp site. C++ Scientific Programming shows how C++ improves on both FORTRAN and C and affords greater convenience and efficiency in coding mathematics. It serves as a vital companion to more general C++ texts and treats the unique needs of scientific programmers. About the Author JOHN R. BERRYHILL, PhD, earned his doctorate in physics from the University of Wisconsin-Madison. He has been writing programs and developing data-processing methods for over thirty years. He lives in Austin, Texas.

Product Specifications

Brand: Wiley
Colour: Multicolor
Format: hardcover
ASIN: 0471412104
Category: Books > Subjects > Computing & Internet > Programming > Introduction to Programming
Domain: Amazon UK
Release Date: 12 October 2001
Listed Since: 14 December 2006

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Wiley C++ Scientific Programming: Computational Recipes at a Higher Level

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