Using efficient multivariate adaptive sampling by minimizing the number of computational electromagnetic analysis needed to establish accurate interpolation models

An efficient multivariate adaptive sampling algorithm based on rational interpolation, that establishes accurate surrogate models of microwave circuits, is presented. The technique optimally samples the parameter space in order to minimize the number of CEM analyses, without assuming any a priori knowledge of the data. The technique is evaluated on passive microwave structures.