BT-POD: A parallel and error-controllable wideband model reduction method for frequency-domain simulations

This paper introduces a hybrid SVD-Krylov technique based on the balanced truncation - proper orthogonal decomposition (BT-POD). The method combines the best features of the two categories, namely offers error controls and indicators while preserving the efficiency of Krylov MOR. The most time consuming step related to the POD sampling is embarrassingly parallel, making the method suitable for multi-core computing. The method is related to the principal component analysis (PCA) of pattern recognition and machine learning, and shares the same spirit with the low-rank POD of Willcox et.al., Phillips' poor-man's TBR. and the Choleski factor -alternating direction implicit (CF-ADI) algorithm.