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Computer Abstracts International Database

 
 
Computer Abstracts International Database provides access to a wealth of information about the developments in computer science. Published by Emerald Group Publishing Limited, Computer Abstracts International Database represents a rapid route to knowledge. For more than forty years, Computer Abstracts International Database has been essential for all who have an interest in the fields of computers and computing research. Computer Abstracts International Database gives practitioners and scholars everywhere in the world immediate access to both the latest and the most significant computer science thinking and practice. Content within Computer Abstracts International Database is keyworded and is also comprehensively classified using The Association for Computing (ACM) Classification Scheme (© 2005, by the Association for Computing Machinery, Inc.).

Audience
    Engineers, researchers and intermediaries working in the production, processing, use, and fabrication of computer hardware and software. Computer Abstracts International Database includes information that is theoretical, applied, and commercially oriented, and is of prime relevance to many industries and research establishments world-wide.
Subject Coverage
    Major areas of coverage include:
    • Artificial Intelligence
    • Communications and networks
    • Computer theory
    • Data
    • Database and information systems applications
    • Hardware
    • Human-computer interaction
    • Mathematics of computing
    • Programming
    • Systems organization
Dates of Coverage
    1987 - current
Update Frequency
    Monthly, with approximately 1,100 new records added
Size
    Over 153,048 records as of June 2008
Examples Of Use
  • Maintain awareness of latest government-sponsored research
  • Keep up with new developments in programming tools
  • Discover new technologies being used in the computer industry
  • Collect information about latest trends in artificial intelligence
  • Research database and information systems applications
Print Equivalent
    Computer Abstracts International Database
Supplier
    Emerald Abstracts
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Sample Record
    TI: Title
    Enhanced spectral viscosity approximations for conservation laws
    AU: Author
    Gelb, A; Tadmor, E
    AF: Author Affiliation
    Arizona State University, USA; UCLA, USA
    SO: Source
    Applied Numerical Mathematics, vol. 33, no. 1-4, pp. 3(18), May 2000
    IS: ISSN
    0168-9274
    AB: Abstract
    In this paper we construct, analyze and implement a new procedure for the spectral approximations of nonlinear conservation laws. It is well known that using spectral methods for nonlinear conservation laws will result in the formation of the Gibbs phenomenon once spontaneous shock discontinuities appear in the solution. These spurious oscillations will in turn lead to loss of resolution and render the standard spectral approximations unstable. The Spectral Viscosity (SV-) method (Tadmor, 1989) was developed to stabilize the spectral method by adding a spectrally small amount of high-frequencies diffusion carried out in the dual space. The resulting SV-approximation is stable without sacrificing spectral accuracy. The SV-method recovers a spectrally accurate approximation to the projection of the entropy solution; the exact projection, however, is at best a first order approximation to the exact solution as a result of the formation of the shock discontinuities. The issue of spectral resolution is addressed by post-processing the SV-solution to remove the spurious oscillations at the discontinuities, as well as increase the first-order-O(1/ N ) accuracy away from the shock discontinuities. Successful post-processing methods have been developed to eliminate the Gibbs phenomenon and recover spectral accuracy for the SV-approximation. However, such reconstruction methods require a priori knowledge of the locations of the shock discontinuities. Therefore, the detection of these discontinuities is essential to obtain an overall spectrally accurate solution. To this end, we employ the recently constructed enhanced edge detectors based on appropriate concentration factors (Gelb and Tadmor, 1999). Once the edges of these discontinuities are identified, we can utilize a post-processing reconstruction method, and show that the post-processed SV-solution recovers the exact entropy solution with remarkably high-resolution. We apply our new numerical method, the Enhanced SV-method, to two numerical examples, the scalar periodic Burgers' equation and the one-dimensional system of Euler equations of gas dynamics. Both approximations exhibit high accuracy and resolution to the exact entropy solution.
    PY: Publication Year
    2000
    CP: Country of Publication
    Netherlands
    DE: Descriptors
    spectral methods; conservation laws; approximation
    CL:: Classification
    Mathematics of computing; Numerical analysis
    SH: Shelfmark
    British Library: 1576.234000
    AN: Accession Number
    44_6948
Field Codes
    The following field codes are found in the records of this database. Here they are listed in alphabetical order by two-letter code. See Field Codes and Search Examples for detailed descriptions and search examples.
    AB = Abstract DE = Descriptors
    AF = Author Affiliation PY = Publication Year
    AN = Accession Number SH = Shelfmark
    AU = Author SO = Source
    CL = Classification TI = Title
    CP = Country of Publication