On accurate quotient singular value computation in floating-point arithmetic (Q2706293)

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On accurate quotient singular value computation in floating-point arithmetic
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    19 March 2001
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    generalized singular value decomposition
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    generalized eigenvalue problem
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    Jacobi method
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    regularization
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    relative accuracy
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    algorithm
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    tangent algorithm
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    On accurate quotient singular value computation in floating-point arithmetic (English)
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    The authors propose a new algorithm for floating-point computation of the quotient singular value decomposition of an arbitrary matrix pair \((A,B)\in \mathbb{R}^{m\times n}\times \mathbb{R}^{p\times n}\). The algorithm proposed in the paper is an improvement and generalization of the tangent algorithm and it is designed to reduce a general pair \((A,B)\) to a (regular) pair with finite quotient singular values.
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