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20 June 1997 Summary of model abstraction techniques
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Abstract
This paper presents an overview of model abstraction methods. Model abstraction methods are techniques that derive simpler conceptual models while maintaining the validity of the simulation results. These methods include variable resolution modeling, combined modeling, multimodeling, and metamodeling. In addition, some taxonomies include approximation, aggregation, linear function interpolation, and look up tables as model abstraction methods. We discuss these methods in a general framework to assist in understanding the applicability of the various model abstraction methods.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Donald Caughlin and Alex F. Sisti "Summary of model abstraction techniques", Proc. SPIE 3083, Enabling Technology for Simulation Science, (20 June 1997); https://doi.org/10.1117/12.276726
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