LEADER 05508nam 22007815 450 001 9910280956903321 005 20240606004344.0 010 $a3-319-73132-7 024 7 $a10.1007/978-3-319-73132-2 035 $a(CKB)4100000002892234 035 $a(DE-He213)978-3-319-73132-2 035 $a(MiAaPQ)EBC5576634 035 $a(PPN)225551225 035 $a(EXLCZ)994100000002892234 100 $a20180326d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGuide to Scientific Computing in C++ /$fby Joe Pitt-Francis, Jonathan Whiteley 205 $a2nd ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 287 p. 11 illus.) 225 1 $aUndergraduate Topics in Computer Science,$x2197-1781 311 $a3-319-73131-9 320 $aIncludes bibliographical references and index. 327 $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, Exceptions and Testing -- 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. 330 $aThis simple-to-follow textbook/reference provides an invaluable guide to object-oriented C++ programming for scientific computing. Through a series of clear and concise discussions, the key features most useful to the novice programmer are explored, enabling the reader to quickly master the basics and build the confidence to investigate less well-used features when needed. The text presents a hands-on approach that emphasizes the benefits of learning by example, stressing the importance of a clear programming style to minimise the introduction of errors into the code, and offering an extensive selection of practice exercises. This updated and enhanced new edition includes additional material on software testing, and on some new features introduced in modern C++ standards such as C++11. Topics and features: Presents a practical treatment of the C++ programming language for applications in scientific computing Reviews the essentials of procedural programming in C++, covering variables, flow of control, input and output, pointers, functions and reference variables Introduces the concept of classes, showcasing the main features of object-orientation, and discusses such advanced C++ features as templates and exceptions Examines the development of a collection of classes for linear algebra calculations, and presents an introduction to parallel computing using MPI Describes how to construct an object-oriented library for solving second order differential equations Contains appendices reviewing linear algebra and useful programming constructs, together with solutions to selected exercises Provides exercises and programming tips at the end of every chapter, and supporting code at an associated website This accessible 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. Dr. Joe Pitt-Francis is a Departmental Lecturer at the Department of Computer Science and teaches Computer Science at Exeter College, the University of Oxford, UK. Prof. Jonathan Whiteley is Associate Professor at the Department of Computer Science and Governing Body Fellow of Linacre College, the University of Oxford, UK. 410 0$aUndergraduate Topics in Computer Science,$x2197-1781 606 $aComputer programming 606 $aNumerical analysis 606 $aComputer simulation 606 $aCompilers (Computer programs) 606 $aComputer science$xMathematics 606 $aSoftware engineering 606 $aScience$xData processing 606 $aC++ (Computer program language) 606 $aProgramming Techniques 606 $aNumerical Analysis 606 $aComputer Modelling 606 $aCompilers and Interpreters 606 $aMathematical Applications in Computer Science 606 $aSoftware Engineering 615 0$aComputer programming. 615 0$aNumerical analysis. 615 0$aComputer simulation. 615 0$aCompilers (Computer programs). 615 0$aComputer science$xMathematics. 615 0$aSoftware engineering. 615 0$aScience$xData processing. 615 0$aC++ (Computer program language) 615 14$aProgramming Techniques. 615 24$aNumerical Analysis. 615 24$aComputer Modelling. 615 24$aCompilers and Interpreters. 615 24$aMathematical Applications in Computer Science. 615 24$aSoftware Engineering. 676 $a005.133 700 $aPitt-Francis$b Joe$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062599 702 $aWhiteley$b Jonathan$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910280956903321 996 $aGuide to Scientific Computing in C++$92526858 997 $aUNINA