Volume 43, pp. 100-124, 2014-2015.

Computing approximate (block) rational Krylov subspaces without explicit inversion with extensions to symmetric matrices

Thomas Mach, Miroslav S. Pranić, and Raf Vandebril

Abstract

It has been shown that approximate extended Krylov subspaces can be computed, under certain assumptions, without any explicit inversion or system solves. Instead, the vectors spanning the extended Krylov space are retrieved in an implicit way, via unitary similarity transformations, from an enlarged Krylov subspace. In this paper this approach is generalized to rational Krylov subspaces, which aside from poles at infinity and zero, also contain finite non-zero poles. Furthermore, the algorithms are generalized to deal with block rational Krylov subspaces and techniques to exploit the symmetry when working with Hermitian matrices are also presented. For each variant of the algorithm numerical experiments illustrate the power of the new approach. The experiments involve matrix functions, Ritz-value computations, and the solutions of matrix equations.

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Key words

Krylov, extended Krylov, rational Krylov, iterative methods, rotations, similarity transformations

AMS subject classifications

65F60, 65F10, 47J25, 15A16

Links to the cited ETNA articles

[17]	Vol. 40 (2013), pp. 414-435 Thomas Mach, Miroslav S. Pranić, and Raf Vandebril: Computing approximate extended Krylov subspaces without explicit inversion

ETNA articles which cite this article

Vol. 51 (2019), pp. 451-468 Niel Van Buggenhout, Marc Van Barel, and Raf Vandebril: Biorthogonal rational Krylov subspace methods

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