使用128位算术的精确半符号分析

J. Dobes, J. Míchal, S. Banas
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引用次数: 0

摘要

从得到的极点和零点的准确性来看,半符号分析通常需要细致的算法,特别是在极点和零点的绝对值相差很大的情况下。本文提出了一种最优的旋转策略,使该算法在全矩阵过程和稀疏矩阵过程中都能将一般特征值问题化为标准问题。使用旋转,极点和零点的精度大大提高。然而,对于许多任务来说,它仍然是不够的,特别是对于那些极点和零点分布在几十个数量级上的射频电路。由于c++和Fortran语言的当代编译器都有内置的四精度库,因此可以使用这种128位算法进一步提高半符号分析的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accurate Semisymbolic Analysis with Usage of 128-bit Arithmetics
The semisymbolic analysis generally requires meticulous algorithms from the point of view of accuracy of resulting poles and zeros, especially in the case of huge differences among their absolute values. In the paper, an optimal pivoting strategy is suggested for the algorithm which reduces general eigenvalue problem to the standard one in the case of both full- and sparse-matrix procedures. Using the pivoting, the precision of the poles and zeros increases considerably. However, it is still insufficient for a number of tasks, especially for radio frequency circuits where the poles and zeros are spread over many decades of magnitudes. As contemporary compilers of C++ and Fortran languages have built-in quad precision libraries, it is possible to further enhance the semisymbolic-analysis accuracy using this 128-bit arithmetics.
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