Automatic differential equation derivation from sampled data for simulation parameter sensitivity analysis
Jaenisch, Holger M. (2006) Automatic differential equation derivation from sampled data for simulation parameter sensitivity analysis. In: Proceedings of SPIE (6229) From: Intelligent Computing: theory and applications IV, 17 April 2006, Orlando, Florida, USA.
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DOI: 10.1117/12.691253
View at Publisher Website: http://dx.doi.org/10.1117/12.691253
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Abstract
An analytical differential equation model from a single simulation input and output data vector is derived. The derived model is analytically varied (real versus imaginary) to determine Critical, Sensitive, and Key parameters without the use of Design of Experiments (DOE).
| Item ID: | 28034 |
|---|---|
| Item Type: | Conference Item (Non-Refereed Research Paper) |
| ISSN: | 1996-756X |
| Keywords: | formal analysis; data modeling; VV&A; equivalence; consistency; transfer function modeling; automatic proofing |
| Date Deposited: | 10 Jul 2013 23:47 |
| FoR Codes: | 02 PHYSICAL SCIENCES > 0201 Astronomical and Space Sciences > 020102 Astronomical and Space Instrumentation @ 100% |
| SEO Codes: | 97 EXPANDING KNOWLEDGE > 970110 Expanding Knowledge in Technology @ 20% 97 EXPANDING KNOWLEDGE > 970102 Expanding Knowledge in the Physical Sciences @ 80% |
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