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C++ Power Paradigms

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Build versatile C++ objects fast. Here's how to sharpen your object-oriented design skills-and slash development time too! In Mark Watson's C++Power Paradigms, you build expertise for analyzing problems and designing and implementing reusable, bulletproof C++ class libraries for: constraint programming used in such applications as graphcis layout, CAD, solving routing problems and automating simple tasks; genetic algorithms used for search and optimization/ neural networks for ...
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Overview

Build versatile C++ objects fast. Here's how to sharpen your object-oriented design skills-and slash development time too! In Mark Watson's C++Power Paradigms, you build expertise for analyzing problems and designing and implementing reusable, bulletproof C++ class libraries for: constraint programming used in such applications as graphcis layout, CAD, solving routing problems and automating simple tasks; genetic algorithms used for search and optimization/ neural networks for building classification and control systems.

This one-stop source provides programmers with the expertise and ready-to-use programs they need to take full advantage of C++ in the implementation of object-oriented designs. Focusing on three programming paradigms--constraint programming, genetic algorithms, and neural networks--the book offers a wealth of real-world application examples and ready-to-use C++ classes and libraries on disk.

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Product Details

  • ISBN-13: 9780079117861
  • Publisher: McGraw-Hill Osborne
  • Publication date: 10/1/1994
  • Pages: 218

Table of Contents

Acknowledgments
Introduction
Ch. 1 Analysis for the Constraint Programming Classes 3
Ch. 2 Design and Implementation of the C++ Constraint Programming Classes 7
Ch. 3 Application Example: Placing Furniture in a Room Subject to Specified Constraints 33
Ch. 4 Application Example: Capital Investment Planning for Small Businesses 57
Ch. 5 Analysis for the Genetic Algorithm Classes 79
Ch. 6 Design and Implementation of the C++ Genetic Algorithm Classes 85
Ch. 7 Application Example: Optimize the Locations of Fast-Food Restaurants in a City 99
Ch. 8 Analysis for the Neural Network Classes 111
Ch. 9 Design and Implementation of the C++ Neural Network Classes 117
Ch. 10 Application Example: Neural Network Classifier for Making Buy/No-Buy Decisions for Home Consumer Goods 141
Ch. 11 Application Example: Neural Network Controller for a Hypothetical Factory 147
Ch. 12 Training Recurrent Neural Networks with Genetic Algorithms 155
Bibliography 209
Index 211
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