Object-Oriented Computation in C++ and Java: A Practical Guide to Design Patterns for Object-Oriented Computing

This is the digital version of the printed book (Copyright 2007). Virtually all business, scientific, and engineering applications are heavily reliant on numeric data items. C++ and Java offer object-oriented programmers unique flexibility and control over the computations required within such applications. However, most books on object-oriented programming gloss over such numeric data items, emphasizing instead one-dimensional containers or collections and components of the graphical user interface. Object-Oriented Computation in C++ and Java fills the gap left by such books. Drawing on more than twenty years' experience as a software developer, tester, consultant, and professor, Conrad Weisert shows readers how to use numeric objects effectively. Not limited to any language or methodology, the concepts and techniques discussed in this book are entirely independent of one's choice of design and coding methodology. Practitioners of Extreme Programming, UML-driven design, agile methods, incremental development, and so on will all develop these same data classes. Whether you are a seasoned professional or an advanced computer science student, this book can teach you techniques that will improve the quality of your programming and the efficiency of your applications. The exercises (and answers) presented in this book with teach you new ways to implement the computational power of C++, Java, and numeric data items. Topics include taxonomy of data types developing and using object-oriented classes for numeric data design patterns for commonly occurring numeric data types families of interacting numeric data types choosing efficient and flexible internal data representations techniques for exploiting pattern reuse in C++ conventions for arithmetic operations in Java numeric vectors and matrices  

Table of Contents:
&> Preface Introduction   3 Chapter 1: Numeric Objects in Context   7 1.1 Data and objects   7 1.2 Application-domain data   8 1.3 Non-application-domain data   9 1.4 Four basic types of elementary data   10 1.5 Avoiding false composites   12 1.6 Numeric data representation   12 Chapter 2: Review of C++ and Java Facilities and Techniques for Defining Classes   21 2.1 Our emphasis   21 2.2 The basic goal–a major difference between C++ and Java   22 2.3 Constructors and destructor   24 2.4 Operator overloading in C++   31 2.5 Operator overloading in Java   37 2.6 Flow-control constructs   38 2.7 Manipulating character strings in C++   41 2.8  Canonical class structure   43 2.9  Overcoming macrophobia   44 2.10  Program readability   48 2.11 Error detection and exceptions   53 Chapter 3: Defining a Pure Numeric Data Type   55 3.1 What does "pure numeric" mean?   55 3.2  Example: Designing a Complex number class   55 3.3  Packaging and using the Complex class   65 3.4  Some other pure numeric classes   67 3.5 Java equivalents   70 Chapter 4: Defining a Numeric Type Having an Additive 4.1 Unit of measure in modeling real-world data   73 4.2 A business application example: Money class   75 4.3 Noting the additive pattern   83 4.4 Supporting an external Money representation   88 4.5 More additive classes   93 4.6 Additive classes in Java   96 Chapter 5: The Point-Extent Pattern for Pairs of Numeric Types   100 5.1 Non-additive numeric types   100 5.2 Another companion class: Calendarlnfo   106 5.3 Back to Date and Days   109 5.4 Other Point-Extent pairs   119 5.5 Date and Days classes in Java   121 5.6 Other point-extent classes in Java   124 Chapter 6: Families of Interacting Numeric Types   125 6.1 Beyond the patterns   125 6.2 Example: Electrical circuit quantities   126 6.3 Greater interaction: Newton's laws in a straight line .... 134 6.4 Extending Newtonian classes to three-dimensional space   140 6.5 Other families of interacting types   145 6.6 Summary   146 6.7 Java versions      146 Chapter 7: Role of Inheritance and Polymorphism with Numeric Types   148 7.1 Review of example classes   148 7.2 Representation is not specialization   149 7.3 Usage is not specialization   150 7.4 A numeric specialization example   151 7.5 Obstacles to polymorphic functions   153 7.6 Turning off Java polymorphism   154 7.7 Why bother with OOP?   154 Chapter 8: Programming with Numeric Vectors and Matrices   156 8.1 Introduction   156 8.2 Existing facilities   156 8.3 A C++ base class for all arrays   160 8.4 Some specialized vector classes   164 8.5 Operations on numeric arrays   166 8.6  A basic Matrix class   171 8.7 Some specialized Matrix classes   174 8.8 What about Java?   177 Appendix: Answers to Selected Exercises   179 Index   191