Computational science for the 21st Century
Author(s)
Bibliographic Information
Computational science for the 21st Century
Wiley, c1997
Available at 6 libraries
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  Iwate
  Miyagi
  Akita
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  Toyama
  Ishikawa
  Fukui
  Yamanashi
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  Gifu
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  Aichi
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  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
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  United Kingdom
  Germany
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  France
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  United States of America
Note
"The symposium, entitled 'Computational Science for the 21st Century', was held in Tours, France, May 5-7, 1997" -- p. [vii]
Includes bibliographical references
Description and Table of Contents
Description
Computational science can loosely be defined as the endeavor to develop and analyse models for the simulation and control of complex processes. This is achieved by making optimal use of computer resources and by drawing upon a variety of disciplines, techniques and theories. With the emergence of advanced computational and information technologies, computational science now has a significant impact on engineering, physical, biological, management and social sciences. The contributions in this state-of-the-art volume range from theoretical and numerical topics to practical implementations. The subject matter includes modelling, mathematical and numerical analysis, differential equations, linear algebra, optimization, domain decomposition, computational fluid dynamics, computational mechanics, elasticity, structure, computational physics and chemistry, electromagnetic, control theory and other applications. This volume is dedicated to Roland Glowinski on the occasion of his 60th birthday.
It is aimed at the next generation of scientists, applied mathematicians, computer scientists, practitioners and engineers who will define computational science within the context of the challenging scientific, industrial, economic and societal problems of the 21st century.
Table of Contents
Mathematical Analysis. Numerical Linear Algebra. Multigrids, Domain Decomposition and Fictitious Domain Methods. Numerical Schemes and CFD. Applications and CFD. Computational Physics and Chemistry. Computational Electromagnetics. Computational Elasticity and Structures. Optimization. Control. Computers and Systems.
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