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Guide to Scientific Computing in C+..., Pitt-Francis, J

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Book Title
Guide to Scientific Computing in C++ (Undergraduate Topics in ...
ISBN
1447127358
EAN
9781447127352
Release Title
Guide to Scientific Computing in C++ (Undergraduate Topics in ...
Artist
Pitt-Francis, Joe
Brand
N/A
Colour
N/A

About this product

Product Identifiers

Publisher
Springer
ISBN-10
1447127358
ISBN-13
9781447127352
eBay Product ID (ePID)
111853376

Product Key Features

Number of Pages
Xii, 250 Pages
Language
English
Publication Name
Guide to Scientific Computing in C++
Publication Year
2012
Subject
Programming / General, Programming Languages / C++, Programming / Algorithms, Computer Simulation
Type
Textbook
Author
Joe Pitt-Francis, Jonathan Whiteley
Subject Area
Computers
Series
Undergraduate Topics in Computer Science Ser.
Format
Trade Paperback

Dimensions

Item Height
0.2 in
Item Weight
14.4 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
23
Reviews
From the reviews:This book is intended for experts mathematicians or other scientists who are familiar with the concept of programming in a high-level language and experienced in programming in languages like Fortran or MathLab. The book contains an almost full description of C++ capabilities listing the basic distinctive features of programming in it. It can serve as a fine manual for quick introduction to the subtleties of C++. … Finally a plenty of useful examples and exercises with solutions is presented. (Nail Zamov, Zentralblatt MATH, Vol. 1246, 2012), From the reviews: "This book is intended for experts - mathematicians or other scientists who are familiar with the concept of programming in a high-level language and experienced in programming in languages like Fortran or MathLab. The book contains an almost full description of C++ capabilities listing the basic distinctive features of programming in it. It can serve as a fine manual for quick introduction to the subtleties of C++. ... Finally a plenty of useful examples and exercises with solutions is presented." (Nail Zamov, Zentralblatt MATH, Vol. 1246, 2012)
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
005.133
Synopsis
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., 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 MΠ 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., 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 book includes numerous exercises to explain theory.
LC Classification Number
QA76.6-76.66QA297-29

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