Bounds for norms of the matrix inverse and the smallest singular value (Q952048)

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scientific article; zbMATH DE number 5362062
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Bounds for norms of the matrix inverse and the smallest singular value
scientific article; zbMATH DE number 5362062

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    Bounds for norms of the matrix inverse and the smallest singular value (English)
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    6 November 2008
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    In the first part of the paper, some lower bounds for \(\| A^{-1}\| \) for \(M\)- and \(H\)-matrices are given. Here \(\| \cdot\| \) denotes an arbitrary matrix norm. However the main results of the papers are related to upper bounds for \(\| A^{-1}\| _{1}\) and \(\| A^{-1}\| _{\infty}\), where \(A\) is a strictly diagonally dominant matrix. As a consequence of these results some bounds for the smallest singular value are obtained.
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    \(M\)-matrices
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    diagonal dominance
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    matrix norms
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    singular values
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    lower bounds
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    \(H\)-matrices
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    upper bounds
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