A Black-Box Method for Parametric Model Order Reduction

Matthias Geuss,Boris Lohmann,Benjamin Peherstorfer,Karen Willcox

IFAC-PapersOnLine（2015）

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摘要

A black-box method for parametric model order reduction is presented that includes method selection, model refinement and error prediction using a cross-validation-based error indicator. The method is demonstrated for the interpolation of reduced system matrices.

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关键词

Parametric model order reduction,matrix interpolation,cross-validation,surrogate model,method selection,model refinement,error prediction

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