Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 743)
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Table of contents (14 chapters)
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Front Matter
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Java Language
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Interdisciplinary Computing in Java Programming
Authors: Sun-Chong Wang
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-0377-4
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2003
Hardcover ISBN: 978-1-4020-7513-1Published: 31 August 2003
Softcover ISBN: 978-1-4613-5046-0Published: 30 October 2012
eBook ISBN: 978-1-4615-0377-4Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XII, 266
Topics: Theory of Computation, Computational Mathematics and Numerical Analysis, Mathematical and Computational Engineering, Systems Theory, Control, Artificial Intelligence, Calculus of Variations and Optimal Control; Optimization