The ROMES Method for Statistical Modeling of Reduced-Order-Model Error
نویسندگان
چکیده
منابع مشابه
The ROMES method for statistical modeling of reduced-order-model error
This work presents a technique for statistically modeling errors introduced by reduced-order models. The method employs Gaussian-process regression to construct a mapping from a small number of computationally inexpensive ‘error indicators’ to a distribution over the true error. The variance of this distribution can be interpreted as the (epistemic) uncertainty introduced by the reduced-order m...
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A partial Padé-via-Lanczos method for reduced-order modeling
The classical Lanczos process can be used to efficiently generate Padé approximants of the transfer function of a given single-input single-output time-invariant linear dynamical system. Unfortunately, in general, the resulting reduced-order models based on Padé approximation do not preserve the stability, and possibly passivity, of the original linear dynamical system. In this paper, we descri...
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ژورنال
عنوان ژورنال: SIAM/ASA Journal on Uncertainty Quantification
سال: 2015
ISSN: 2166-2525
DOI: 10.1137/140969841