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Proceedings Paper

Using MRMAide for abstraction
Author(s): Anthony Faulds; Robert M. McGraw; Dawn A. Trevisani
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Paper Abstract

Developing models for simulation is an arduous task. After building a high fidelity model, computation time can be prohibitive for general testing due to processing at higher levels of resolution. One way to address this problem is to develop abstract representations of the models that only consider “key” variables or parameters. For identifying these “key” variables or parameters, it may be desirable to determine the sensitivity of certain variables with respect to model outputs or response. One way of calculating the sensitivity of variables requires the analysis of output variables using clustering techniques. The MRMAide technology (MRMAide stands for Mixed Resolution Modeling Aide) employs a sensitivity analysis as an enabling technology that allows the program to test the sensitivity of certain variables and analyze the correlation of coupled variables. Using this tool helps the developer analyze how a model can be abstracted so that it can be rewritten to reduce the number of calculations but keeping an acceptable level of accuracy. Distributions can then be fed into these variables rather than calculating their values at each step resulting in a lower fidelity, yet fairly accurate representation for given operating conditions.

Paper Details

Date Published: 4 September 2003
PDF: 9 pages
Proc. SPIE 5091, Enabling Technologies for Simulation Science VII, (4 September 2003); doi: 10.1117/12.488387
Show Author Affiliations
Anthony Faulds, RAM Labs., Inc. (United States)
Robert M. McGraw, RAM Labs., Inc. (United States)
Dawn A. Trevisani, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 5091:
Enabling Technologies for Simulation Science VII
Alex F. Sisti; Dawn A. Trevisani, Editor(s)

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