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New Methods for Improving the Pole-Zero Analysis Accuracy

机译:提高零极点分析精度的新方法

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An optimal pivoting strategy of the algorithm that reduces the general eigenvalue problem to the standard one is suggested for both full-and sparse-matrix procedures. The algorithm increases the accuracy of the semisymbolic analysis, especially for resonant and/or large-scale electronic circuits. A novel technique is also incorporated recognizing multiple poles or zeros, which are often computed inaccurately by the standard algorithms. A new type of this procedure called secondary root polishing is described in the paper. The accuracy is further increased using longer numerical data. First, the "long double" precision (available in many C/C++ compilers) is utilized. Second, a novel application of a suitable multiple-precision arithmetic library is suggested. The algorithms were checked on various electronic circuits.
机译:对于全矩阵程序和稀疏矩阵程序,都提出了一种将通用特征值问题减少到标准算法的最佳算法。该算法提高了半符号分析的准确性,尤其是对于谐振和/或大规模电子电路而言。还结合了一种新颖的技术来识别多个极点或零点,这些极点或零点通常是由标准算法不准确地计算出来的。本文中介绍了一种称为次生根抛光的新方法。使用更长的数值数据可进一步提高精度。首先,利用“ long double”精度(在许多C / C ++编译器中可用)。其次,提出了一种适合的多精度算术库的新颖应用。在各种电子电路上检查了算法。

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