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 Object - Orientated Computation in C++ and Java
  

 

  • Published by: Dorset House Publishing
  • Author: Conrad Weisert
  • Page Count: 194
  • Group: C++
  • ISBN: 0932633633/9780932633637
  • Published: May 2007

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Book Information and Description:

Object - Orientated Computation in C++ and Java
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 20 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