(Enter summary)
Abstract: In this thesis, we propose a highly efficient accelerating method for the restarted Arnoldi iteration
to compute the eigenvalues of a large nonsymmetric matrix. Its effectiveness is proved by
various numerical experiments and comparisons with other approaches. Several new results on the
characteristics of the polynomial acceleration are also reported.
The Arnoldi iteration has been the most popular method for nonsymmetric large eigenproblems.
Its defect of increasing computational complexity... (Update)
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BibTeX entry: (Update)
A. Nishida, Polynomial Acceleration for Large Nonsymmetric Eigenproblems, PhD thesis, the University of Tokyo, Tokyo, 1998. http://citeseer.ist.psu.edu/nishida97polynomial.html More
@booklet{ nishida97polynomial,
author = "A.~Nishida and ~R.~Suda and ~Y.~Oyanagi",
title = "{Polynomial Acceleration for Restarted Arnoldi Method and its Parallelization}",
address = "USA",
howpublished = "Third IMACS International Symposium on Iterative Methods in Scientific Computation",
year = "1997",
url = "citeseer.ist.psu.edu/nishida97polynomial.html" }
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[Article contains additional citations not shown here]
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