摘要：AbstractA 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.
关键词：KeywordsParametric model order reductionmatrix interpolationcross-validationsurrogate modelmethod selectionmodel refinementerror prediction
