Interdisciplinary Computing in Java Programming Language

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.

This work introduces the Java programming language and presents algorithms and applications. Early chapters cover Java basics, graphical and interactive Java, and high-performance computing. Chapters on applications present algorithms for simulated annealing, artificial neural networks, the Monte Carlo simulation, molecular dynamics, cellular automata, data fitting, Bayesian analysis, and JNI technology. The audience for the book includes practitioners and researchers in science and technology, and advanced students in computer science. Wang works in the private sector in Canada. Annotation ©2003 Book News, Inc., Portland, OR