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• W1966324668 abstract "An improvement of the Jacobi singular value decomposition algorithm is proposed. The matrix is first reduced to a triangular form. It is shown that the row-cyclic strategy preserves the triangularity. Further improvements lie in the convergence properties. It is shown that the method converges globally and a proof of the quadratic convergence is indicated as well. The numerical experiments confirm these theoretical predictions. Our method is about 2-3 times slower than the standard QR method but it almost reaches the latter if the matrix is diagonally dominant or of low rank." @default.
• W1966324668 created "2016-06-24" @default.
• W1966324668 creator A5024237919 @default.
• W1966324668 creator A5047131206 @default.
• W1966324668 date "1987-09-01" @default.
• W1966324668 modified "2023-09-27" @default.
• W1966324668 title "On Jacobi Methods for Singular Value Decompositions" @default.
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• W1966324668 doi "https://doi.org/10.1137/0908064" @default.
• W1966324668 hasPublicationYear "1987" @default.
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