Reduced-Order Modeling of Large Linear Subcircuits via a Block Lanczos Algorithm

Abstract

A method for the ecient computation of accurate reduced-order models of large linear circuits is described.The method, called MPVL, employs a novel block Lanczos algorithm to compute matrix Pad e approximations of matrix-valued network transfer functions.The reduced-order models, computed to the required level of accuracy, are used t o s p e e d up the analysis of circuits containing large linear blocks.The linear blocks are r eplaced by their reduced-order models, and the resulting smaller circuit can be analyzed with general-purpose simulators, with signicant savings in simulation time and, practically, no loss of accuracy.