Statistical emulation of large linear dynamic models
The article describes a new methodology for the emulation of high-order, dynamic simulation models. This exploits the technique of dominant mode analysis to identify a reduced-order, linear transfer function model that closely reproduces the linearized dynamic behavior of the large model. Based on a set of such reduced-order models, identified over a specified region of the large model's parameter space, nonparametric regression, tensor product cubic spline smoothing, or Gaussian process...[Show more]
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