Notes on polynomial selection for piecewise polynomial model order reduction [nonlinear systems]

Abstract

Modern trends in simulation of large microelectronics systems has introduced the necessity for development of fast and robust nonlinear model order algorithms. This paper discusses polynomial selection in conjunction with piecewise polynomial model order reduction. The advantage of mean value convergence over pointwise convergence is shown in respect to input function expansion.