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A fast divide-and-conquer algorithm for computing the spectra of real symmetric tridiagonal matrices

机译:一种计算实对称三对角矩阵频谱的快速分治算法

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摘要

We propose a new fast algorithm for computing the spectrum of an N × N symmetric tridiagonal matrix in O(NlnN) operations. Such an algorithm may be combined with any of the existing methods for the determination of eigenvectors of a symmetric tridiagonal matrix with known eigenvalues. The underlying technique is a divide-and-conquer approach which determines eigenvalues of a larger tridiagonal matrix from those of constituent matrices by the use of relations of their characteristic polynomials. The evaluation of characteristic polynomials is accelerated by the use of a technique known as the fast multipole method. An implementation of the algorithm has been developed in Fortran, providing for a comparison with existing techniques in terms of running time and accuracy. We present numerical results which demonstrate the effectiveness of the method.
机译:我们提出了一种新的快速算法,用于在O(NlnN)运算中计算N×N对称三对角矩阵的频谱。这样的算法可以与用于确定具有已知特征值的对称三对角矩阵的特征向量的任何现有方法组合。基本技术是分治法,该分法方法利用组成矩阵的特征多项式的关系,从组成矩阵的特征值确定较大的三对角矩阵的特征值。通过使用一种称为快速多极方法的技术,可以加快特征多项式的评估速度。该算法的实现已在Fortran中开发,可以在运行时间和准确性方面与现有技术进行比较。我们提供数值结果,证明了该方法的有效性。

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