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A short course in computational science and engineering : C++, Java, and Octave numerical programming with free software tools /

"Building on his highly successful textbook on C++, David Yevick provides a concise yet comprehensive one-stop course in three key programming languages, C++, Java and Octave (a freeware alternative to MATLAB). Employing only public-domain software to ensure straightforward implementation for a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Yevick, David (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Cambridge University Press, 2012.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Yevick, David,  |e author. 
245 1 2 |a A short course in computational science and engineering :  |b C++, Java, and Octave numerical programming with free software tools /  |c David Yevick. 
260 |a New York :  |b Cambridge University Press,  |c 2012. 
300 |a 1 online resource 
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337 |a computer  |b c  |2 rdamedia 
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500 |a Includes index. 
520 |a "Building on his highly successful textbook on C++, David Yevick provides a concise yet comprehensive one-stop course in three key programming languages, C++, Java and Octave (a freeware alternative to MATLAB). Employing only public-domain software to ensure straightforward implementation for all readers, this book presents a unique overview of numerical and programming techniques relevant to scientific programming, including object-oriented programming, elementary and advanced topics in numerical analysis, physical system modeling, scientific graphics, software engineering and performance issues. Relevant features of each programming language are illustrated with short, incisive examples, and the installation and application of the software is described in detail. Compact, transparent code in all three programming languages is applied to the fundamental equations of quantum mechanics, electromagnetics, mechanics and statistical mechanics. Uncommented versions of the code that can be immediately modified and adapted are provided online for the more involved programs. This compact, practical text is an invaluable introduction for students in all undergraduate- and graduate-level courses in the physical sciences or engineering that require numerical modeling, and also a key reference for instructors and scientific programmers"--  |c Provided by publisher. 
588 0 |a Print version record. 
505 0 |a Cover; A Short Course in Computational Science and Engineering; Title; Copyright; Contents; Chapter 1: Introduction; 1.1 Objective; 1.2 Presentation; 1.3 Programming languages; 1.4 Language standards; 1.5 Chapter summary; 1.6 How to use this text; 1.7 Additional and alternative software packages; Chapter 2: Octave programming; 2.1 Obtaining octave; 2.2 Command summary; 2.3 Logistic map; Chapter 3: Installing and running the Dev-C++ programming environment; 3.1 Compiling and running a first program; 3.2 The Dev-C++ debugger; 3.3 Installing DISLIN; 3.4 A first graphics program 
505 8 |a 3.5 The help system3.6 Example; Chapter 4: Introduction to computer and software architecture; 4.1 Computational methods; 4.2 Hardware architecture; 4.3 Software architecture; 4.4 The operating system and application software; Chapter 5: Fundamental concepts; 5.1 Overview of program structure; 5.2 Tokens, names and keywords; 5.3 Expressions and statements; 5.4 Constants, variables and identifiers; 5.5 Constant and variable types; 5.6 Block structure; 5.7 Declarations, definitions and scope; 5.8 rvalues and lvalues; 5.9 Operators -- precedence and associativity; 5.10 The const keyword 
505 8 |a 5.11 Formatting conventions5.12 Comments; Chapter 6: Procedural programming basics; 6.1 Scientific software development; 6.2 The main( ) function; 6.3 Namespaces; 6.4 Preprocessor directives and #include statements; 6.5 Arithmetic and logical operators; 6.6 The bool and enum types; 6.7 Control flow, if statements and implicit blocks; 6.8 The for statement; 6.9 while and do. . . while statements; 6.10 The break, continue and exit( ) statements; 6.11 The typedef keyword; 6.12 Input and output streams; 6.13 File streams; 6.14 Casts; 6.15 Functions; 6.16 Principles of function operation 
505 8 |a 6.17 Function declarations and prototypes6.18 Enumerators and functions; 6.19 Overloading and argument conversion; 6.20 Built-in functions and header files; 6.21 The assert statement and try and catch blocks; 6.22 Multiple return statements; 6.23 Default parameters; 6.24 Functions and global variables; 6.25 Inline functions; 6.26 Recursive functions; 6.27 Modular programming; 6.28 Arrays; 6.29 Program errors; 6.30 Numerical errors with floating-point types; Chapter 7: An introduction to object-oriented analysis; 7.1 Procedural versus object-oriented programming; 7.2 Problem definition 
505 8 |a 7.3 Requirements specification7.4 UML diagrams; 7.5 Classes and objects; 7.6 Object discovery; 7.7 Inheritance; Chapter 8: C++ object-oriented programming syntax; 8.1 Class declaration; 8.2 Class definition and member functions; 8.3 Object creation and polymorphism; 8.4 Information hiding; 8.5 Constructors; 8.6 Examples; 8.7 Wrappering legacy code; 8.8 Inheritance; 8.9 The "protected" keyword; 8.10 Multifile programs; 8.11 const member functions; Chapter 9: Arrays and matrices; 9.1 Data structures and arrays; 9.2 Array definition and initialization; 9.3 Array manipulation and memory access 
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