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Error bounded Pade approximation via bilinear conformal transformation

机译:通过双线性保形转换误差有界曲面近似

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Since asymptotic waveform evaluation (AWE) was introduced, many interconnect model order reduction methods via Pade approximation have been proposed. Although the stability and precision of model reduction methods have been greatly improved, the following important question has not been answered: "What is the error bound in the time domain?". This problem is mainly caused by the "gap" between the frequency domain and the time domain, i.e., a good approximated transfer function in the frequency domain may not be a good approximation in the time domain. All of the existing methods approximate the transfer function directly in the frequency domain and hence can not provide error bounds in the time domain. In this paper, we present new moment matching methods which can provide guaranteed error bounds in the time domain. Our methods are based on the classic work by Teasdale (1953) which performs Pade approximation in a transformed domain by the bilinear conformal transformation s=(1-z)/(1+z).
机译:由于介绍了渐近波形评估(AWE),提出了许多通过梯度近似的互连模型顺序减少方法。虽然模型减少方法的稳定性和精度已经大大提高,但以下重要问题尚未得到解答:“时域中的错误绑定是什么?”。该问题主要由频域和时域之间的“间隙”引起,即频域中的良好近似传递函数在时域中的良好近似。所有现有方法均近似于频域中的传输函数,因此不能在时域中提供错误界限。在本文中,我们呈现了新的片刻匹配方法,可以在时域中提供有保证的错误界限。我们的方法基于TEASDALE(1953)的经典作品,其通过双线性共形变换S =(1-Z)/(1 + Z)在变换域中执行梯度近似。

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