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Enabling Technologies for Computational Science

Elias N. Houstis, John R. Rice, Efstratios Gallopoulos, Randall Bramley
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      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.
      Format: CONTRIBUTORS: Elias N. Houstis, John R. Rice, Efstratios Gallopoulos, Randall Bramley EAN: 9780792378099 COUNTRY: Netherlands PAGES: WEIGHT: 1710 g HEIGHT: 235 cm
      PUBLISHED BY: Springer DATE PUBLISHED: 2000-03-31 CITY: GENRE: COMPUTERS / Computer Science, COMPUTERS / Programming / Algorithms, COMPUTERS / Networking / Hardware, SCIENCE / Physics / Mathematical & Computational WIDTH: 155 cm SPINE:

      Book Themes:

      Numerical analysis, Mathematical physics, Network hardware, Computer science, Mathematical theory of computation

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      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.
      Format: CONTRIBUTORS: Elias N. Houstis, John R. Rice, Efstratios Gallopoulos, Randall Bramley EAN: 9780792378099 COUNTRY: Netherlands PAGES: WEIGHT: 1710 g HEIGHT: 235 cm
      PUBLISHED BY: Springer DATE PUBLISHED: 2000-03-31 CITY: GENRE: COMPUTERS / Computer Science, COMPUTERS / Programming / Algorithms, COMPUTERS / Networking / Hardware, SCIENCE / Physics / Mathematical & Computational WIDTH: 155 cm SPINE:

      Book Themes:

      Numerical analysis, Mathematical physics, Network hardware, Computer science, Mathematical theory of computation

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