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Digital simulation using Fermat number transforms.

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Τίτλος: Digital simulation using Fermat number transforms.
Συγγραφείς: Pimentel, Juan R., McVey, Eugene S.
Πηγή: Simulation; Feb1979, Vol. 32 Issue 2, p47-53, 7p
Περίληψη: This paper discusses the use of number transforms in the simulation of dynamic systems. The structure of these transforms is discussed, and the Fermat number transform is selected as the most promising for simulation. The advantages of this approach are in creased speed and the elimination of multiplications and roundoff error. An example of a simulation using Fermat number transforms is presented and this tech nique is compared with standard techniques in terms of error and execution time. [ABSTRACT FROM PUBLISHER]
Copyright of Simulation is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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PubType: Academic Journal
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  Data: Simulation; Feb1979, Vol. 32 Issue 2, p47-53, 7p
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  Data: This paper discusses the use of number transforms in the simulation of dynamic systems. The structure of these transforms is discussed, and the Fermat number transform is selected as the most promising for simulation. The advantages of this approach are in creased speed and the elimination of multiplications and roundoff error. An example of a simulation using Fermat number transforms is presented and this tech nique is compared with standard techniques in terms of error and execution time. [ABSTRACT FROM PUBLISHER]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Simulation is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1177/003754977903200203
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      – Code: eng
        Text: English
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        PageCount: 7
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            NameFull: Pimentel, Juan R.
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            NameFull: McVey, Eugene S.
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              Text: Feb1979
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              Y: 1979
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              Value: 32
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