An intuitive relationship between numerical integration algorithms and AWE is established. A small number of data points generated during a brief fixed timestep numerical integration of linear(ized) circuits are used to form sampled waveform integration, correction and extrapolation (SWICE) models. This method preserves the efficiency of the AWE technique, while increasing the accuracy and generality. The strengths of such an approach are illustrated from a theoretical view, as well as with practical examples.>

Asymptotic waveform evaluation (AWE) is a new method for approximating the behavior of linear(ized) circuits in either the time or the frequency domain in terms of a dominant pole/zero approximation. An efficient method for calculating the sensitivities of the poles and zeros found by AWE has been developed. Using the adjoint sensitivity method, it is possible to inexpensively compute the sensitivities of the poles and zeros with respect to all circuit parameters, as well as to suppressed circuit parasitics. The sensitivities of the approximate poles and zeros found by AWE show excellent correlation with those of the real circuit and provide useful information in both the time and the frequency domain.>

Asymptotic waveform evaluation (AWE) is a novel method to approximate the behavior of linear(ized) circuits in either the time or the frequency domain in terms of a dominant pole/zero approximation. An efficient method for calculating the sensitivities of the poles and zeros found by AWE has been developed. Using the adjoint sensitivity method, it is possible to inexpensively compute the sensitivities of the poles and zeros with respect to all circuit parameters, as well as to circuit parasitics. The sensitivities of the poles and zeros show excellent correlation with the perturbation response, and can provide valuable feedback to the circuit designer.>