Convergence Acceleration of Shifted LR Transformations for Totally Nonnegative Hessenberg Matrices

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作者
Akiko Fukuda
Yusaku Yamamoto
Masashi Iwasaki
Emiko Ishiwata
Yoshimasa Nakamura
机构
[1] Shibaura Institute of Technology,Department of Mathematical Sciences
[2] The University of Electro-Communications,Department of Communication Engineering and Informatics
[3] Kyoto Prefectural University,Department of Life and Environmental Sciences
[4] Tokyo University of Science,Department of Applied Mathematics
[5] Kyoto University,Graduate School of Informatics
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LR transformation; totally nonnegative matrix; Newton shift; convergence rate; 34B16; 34C25;
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摘要
We design shifted LR transformations based on the integrable discrete hungry Toda equation to compute eigenvalues of totally nonnegative matrices of the banded Hessenberg form. The shifted LR transformation can be regarded as an extension of the extension employed in the well-known dqds algorithm for the symmetric tridiagonal eigenvalue problem. In this paper, we propose a new and effective shift strategy for the sequence of shifted LR transformations by considering the concept of the Newton shift. We show that the shifted LR transformations with the resulting shift strategy converge with order 2 − ε for arbitrary ε > 0.
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页码:677 / 702
页数:25
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