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Matrices, moments and rational quadrature

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2008-11
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Elsevier
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Abstract
^aMany problems in science and engineering require the evaluation of functionals of the form $$ F_u(A)=u^\ssf Tf(A)u $$, where A is a large symmetric matrix, u a vector, and f a nonlinear function. A popular and fairly inexpensive approach to determining upper and lower bounds for such functionals is based on first carrying out a few steps of the Lanczos procedure applied to A with initial vector u, and then evaluating pairs of Gauss and Gauss–Radau quadrature rules associated with the tridiagonal matrix determined by the Lanczos procedure. The present paper extends this approach to allow the use of rational Gauss quadrature rules.
Description
15 pages, no figures.-- MSC2000 code: 65D15.
MR#: MR2456794 (2009h:65035)
Zbl#: Zbl pre05362059
Keywords
Gauss quadrature, Rational Gauss quadrature, Lanczos process, Error bounds
Bibliographic citation
Linear Algebra and its Applications, 2008, vol. 429, n. 10, p. 2540-2554