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Nonnegative Matrices

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Part of the book series: Springer Series in Computational Mathematics ((SSCM,volume 27))

Abstract

In investigations of the rapidly of convergence of various iterative methods, the spectral radius ρ(A), we have thus far only the upper bounds for ρ(A) of Sect. 1.4, provided by extensions of Gerschgorin's Theorem 1.11. In this section, we shall look closely into the Perron-Frobenius theory of square matrices having nonnegative real numbers as entries. Not only will this theory provide us with both nontrivial upper and lower bounds for the spectral radius for this class of matrices, but the structure of this theory will be decidedly germane to our subsequent development of iterative methods.

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Correspondence to Richard S. Varga .

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© 2009 Springer-Verlag Berlin Heidelberg

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Varga, R.S. (2009). Nonnegative Matrices. In: Matrix Iterative Analysis. Springer Series in Computational Mathematics, vol 27. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05156-2_2

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  • DOI: https://doi.org/10.1007/978-3-642-05156-2_2

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  • Print ISBN: 978-3-642-05154-8

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