(Enter summary)
Abstract: Arnoldi methods can be more effective than subspace iteration methods for computing the dominant
eigenvalues of a large sparse real unsymmetric matrix. A code, EB12, for the sparse unsymmetric
eigenvalue problem based on a subspace iteration algorithm, optionally combined with Chebychev
acceleration, has recently been described by Duff and Scott (1993) and is included in the Harwell
Subroutine Library (Anon 1993). In this paper we consider variants of the method of Arnoldi and
discuss the... (Update)
Context of citations to this paper: More
.... based on a subspace iteration algorithm, optionally combined with Chebychev acceleration, has recently been described by Duff and Scott (1993) and is included in the Harwell Subroutine Library (Anon 1993) In this paper we consider variants of the method of Arnoldi and...
.... in the sparse symmetric eigenvalue problem, all algorithms known to us (see [BW 73, C 78, CD 74, DR 75, L 77, P 71, R 74, R 79, S 93, Sc 93, SLN 75, SBP 73, U 75] which compute the eigenvalues and eigenvectors of a sparse rational matrix by orthogonal factorizations z or...
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BibTeX entry: (Update)
J. A. Scott. An Arnoldi code for computing selected eigenvalues of sparse real unsymmetric matrices. ACM Transactions on Mathematical Software, 21:432--475, 1995. http://citeseer.ist.psu.edu/scott95arnoldi.html More
@article{ scott95arnoldi,
author = "Jennifer A. Scott",
title = "An {Arnoldi} Code for Computing Selected Eigenvalues of Sparse, Real, Unsymmetric Matrices",
journal = "ACM Transactions on Mathematical Software",
volume = "21",
number = "4",
pages = "432--475",
year = "1995",
url = "citeseer.ist.psu.edu/scott95arnoldi.html" }
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