MATHICSE-GroupPradovera, DavideNobile, Fabio2020-02-272020-02-272020-02-272020-02-2710.5075/epfl-MATHICSE-275533https://infoscience.epfl.ch/handle/20.500.14299/166526We present a technique for Model Order Reduction (MOR) of frequency-domain problems relying on rational interpolation of vector-valued functions. The selection of the sample points is carried out adaptively according to a greedy procedure. We describe several options for the choice of a posteriori error indicators, which are used to drive the greedy algorithm and define its termination condition. Namely, we illustrate a tradeoff between each estimator’s accuracy and its “intrusiveness”, i.e. how much information on the underlying high-fidelity model needs to be available. We test numerically the effectiveness of this technique in solving a non-Hermitian eigenproblem and a microwave frequency response analysis.Model Order Reductionrational approximationeigenvalue estimationfrequency responsegreedy algorithmtext::working paper