000 04164nam a22005295i 4500
001 978-1-4471-2736-9
003 DE-He213
005 20140220083236.0
007 cr nn 008mamaa
008 120215s2012 xxk| s |||| 0|eng d
020 _a9781447127369
_9978-1-4471-2736-9
024 7 _a10.1007/978-1-4471-2736-9
_2doi
050 4 _aQA76.6-76.66
072 7 _aUM
_2bicssc
072 7 _aCOM051000
_2bisacsh
082 0 4 _a005.11
_223
100 1 _aPitt-Francis, Joe.
_eauthor.
245 1 0 _aGuide to Scientific Computing in C++
_h[electronic resource] /
_cby Joe Pitt-Francis, Jonathan Whiteley.
264 1 _aLondon :
_bSpringer London,
_c2012.
300 _aXII, 250p. 11 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUndergraduate Topics in Computer Science,
_x1863-7310
505 0 _aGetting Started -- Flow of Control -- File Input and Output -- Pointers -- Blocks, Functions and Reference Variables -- An Introduction to Classes -- Inheritance and Derived Classes -- Templates -- Errors and Exceptions -- Developing Classes for Linear Algebra Calculations -- An Introduction to Parallel Programming Using MPI -- Designing Object–Oriented Numerical Libraries -- Linear Algebra -- Other Programming Constructs You Might Meet -- Solutions to Exercises -- Further Reading.
520 _aThe 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 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 http://www.springer.com/978-1-4471-2735-2 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.
650 0 _aComputer science.
650 0 _aSoftware engineering.
650 0 _aElectronic data processing.
650 0 _aComputer simulation.
650 1 4 _aComputer Science.
650 2 4 _aProgramming Techniques.
650 2 4 _aNumeric Computing.
650 2 4 _aSimulation and Modeling.
650 2 4 _aProgramming Languages, Compilers, Interpreters.
650 2 4 _aMath Applications in Computer Science.
650 2 4 _aSoftware Engineering.
700 1 _aWhiteley, Jonathan.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447127352
830 0 _aUndergraduate Topics in Computer Science,
_x1863-7310
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-2736-9
912 _aZDB-2-SCS
999 _c100697
_d100697