Accuracy of two SVD algorithms for \(2\times 2\) triangular matrices
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Publication:1015805
DOI10.1016/j.amc.2008.12.086zbMath1166.65014OpenAlexW2060333799MaRDI QIDQ1015805
Publication date: 30 April 2009
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2008.12.086
numerical examplessingular value decompositionerror analysispseudoinversestriangular matricesoverdetermined systemsKogbetliantz methodSVD algorithm
Computational methods for sparse matrices (65F50) Numerical solutions to overdetermined systems, pseudoinverses (65F20)
Related Items (8)
A Kogbetliantz-type algorithm for the hyperbolic SVD ⋮ The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale ⋮ The high relative accuracy of the HZ method ⋮ Batched Computation of the Singular Value Decompositions of Order Two by the AVX-512 Vectorization ⋮ Accuracy of the Kogbetliantz method for scaled diagonally dominant triangular matrices ⋮ On high relative accuracy of the Kogbetliantz method ⋮ Convergence to diagonal form of block Jacobi-type methods ⋮ Accuracy of one step of the Falk-Langemeyer method
Uses Software
Cites Work
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- Solution of linear equations by diagonalization of coefficients matrix
- The Cyclic Jacobi Method for Computing the Principal Values of a Complex Matrix
- On Jacobi Methods for Singular Value Decompositions
- Jacobi’s Method is More Accurate than QR
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- On Cyclic Jacobi Methods
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