Enabling Technologies for Computational Science
Subtitle: Frameworks, Middleware and Environments
By: edited by Elias N. Houstis, John R. Rice, Efstratios Gallopoulos, Randall Bramley
Contributors: Rice, John R.; Gallopoulos, E. J. (Efstratios J.); Bramley, Randall
Series: The Springer International Series in Engineering and Computer Science -- 548; Springer International Series in Engineering and Computer Science -- 548.
Publisher: Springer US
Published: 2000
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] :
Number of pages: 402
ISBN-13: 9781461370499; 9781461545415
Subjects: Electronic data processing; Computer communication networks; Computer science; Information theory
Description: Enabling Technologies for Computational Science assesses future application computing needs, identifies research directions in problem-solving environments (PSEs), addresses multi-disciplinary environments operating on the Web, proposes methodologies and software architectures for building adaptive and human-centered PSEs, and describes the role of symbolic computing in scientific and engineering PSEs. The book also includes an extensive bibliography of over 400 references. Enabling Technologies for Computational Science illustrates the extremely broad and interdisciplinary nature of the creation and application of PSEs. Authors represent academia, government laboratories and industry, and come from eight distinct disciplines (chemical engineering, computer science, ecology, electrical engineering, mathematics, mechanical engineering, psychology and wood sciences). This breadth and diversity extends into the computer science aspects of PSEs. These papers deal with topics such as artificial intelligence, computer-human interaction, control, data mining, graphics, language design and implementation, networking, numerical analysis, performance evaluation, and symbolic computing. Enabling Technologies for Computational Science provides an assessment of the state of the art and a road map to the future in the area of problem-solving environments for scientific computing. This book is suitable as a reference for scientists from a variety of disciplines interested in using PSEs for their research.
Notes: Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.