Interdisciplinary Computing in Java Programming

  • Sun-Chong Wang

Table of contents

  1. Front Matter
    Pages i-xii
  2. Java Language

    1. Front Matter
      Pages 1-1
    2. Sun-Chong Wang
      Pages 3-15
    3. Sun-Chong Wang
      Pages 17-37
    4. Sun-Chong Wang
      Pages 39-55
  3. Computing

    1. Front Matter
      Pages 57-57
    2. Sun-Chong Wang
      Pages 59-79
    3. Sun-Chong Wang
      Pages 81-100
    4. Sun-Chong Wang
      Pages 101-116
    5. Sun-Chong Wang
      Pages 117-131
    6. Sun-Chong Wang
      Pages 133-145
    7. Sun-Chong Wang
      Pages 147-165
    8. Sun-Chong Wang
      Pages 167-180
    9. Sun-Chong Wang
      Pages 181-194
    10. Sun-Chong Wang
      Pages 195-210
    11. Sun-Chong Wang
      Pages 211-239
    12. Sun-Chong Wang
      Pages 241-252
  4. Back Matter
    Pages 253-266

About this book

Introduction

Books on computation in the marketplace tend to discuss the topics within specific fields. Many computational algorithms, however, share common roots. Great advantages emerge if numerical methodologies break the boundaries and find their uses across disciplines. Interdisciplinary Computing In Java Programming Language introduces readers of different backgrounds to the beauty of the selected algorithms. Serious quantitative researchers, writing customized codes for computation, enjoy cracking source codes as opposed to the black-box approach. Most C and Fortran programs, despite being slightly faster in program execution, lack built-in support for plotting and graphical user interface. This book selects Java as the platform where source codes are developed and applications are run, helping readers/users best appreciate the fun of computation.

Interdisciplinary Computing In Java Programming Language is designed to meet the needs of a professional audience composed of practitioners and researchers in science and technology. This book is also suitable for senior undergraduate and graduate-level students in computer science, as a secondary text.

Keywords

C programming language Cluster Java Rack STATISTICA Sage Simulation algorithms artificial neural network automata programming language selection

Authors and affiliations

  • Sun-Chong Wang
    • 1
  1. 1.TRIUMFCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-0377-4
  • Copyright Information Kluwer Academic Publishers 2003
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5046-0
  • Online ISBN 978-1-4615-0377-4
  • Series Print ISSN 0893-3405
  • About this book