An approach to quantify uncertainty in linear three-dimensional magnetostatic problems with correlated random reluctivities is proposed. Such strategy is based on a reduced-order model and a spectral approximation of the deterministic parametric magnetostatic problem for accurately and efficiently estimating the statistics of the quantities of interest.
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