A methodology for selecting an optimal experimental design for the computer analysis of a complex system

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Description

Investigation and evaluation of a complex system is often accomplished through the use of performance measures based on system response models. The response models are constructed using computer-generated responses supported where possible by physical test results. The general problem considered is one where resources and system complexity together restrict the number of simulations that can be performed. The levels of input variables used in defining environmental scenarios, initial and boundary conditions and for setting system parameters must be selected in an efficient way. This report describes an algorithmic approach for performing this selection.

Physical Description

18 p.

Creation Information

RUTHERFORD,BRIAN M. February 3, 2000.

Context

This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

Investigation and evaluation of a complex system is often accomplished through the use of performance measures based on system response models. The response models are constructed using computer-generated responses supported where possible by physical test results. The general problem considered is one where resources and system complexity together restrict the number of simulations that can be performed. The levels of input variables used in defining environmental scenarios, initial and boundary conditions and for setting system parameters must be selected in an efficient way. This report describes an algorithmic approach for performing this selection.

Physical Description

18 p.

Notes

OSTI as DE00751227

Medium: P; Size: 18 pages

Source

  • Journal Name: Technometrics; Other Information: Submitted to Technometrics

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Identifier

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  • Report No.: SAND2000-0333J
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 751227
  • Archival Resource Key: ark:/67531/metadc709195

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Creation Date

  • February 3, 2000

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

Description Last Updated

  • April 7, 2017, 4:09 p.m.

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Citations, Rights, Re-Use

RUTHERFORD,BRIAN M. A methodology for selecting an optimal experimental design for the computer analysis of a complex system, article, February 3, 2000; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc709195/: accessed September 21, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.