A fast and stable parallel QR algorithm for symmetric tridiagonal matrices
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Publication:1893081
DOI10.1016/0024-3795(93)00360-CzbMath0827.65038MaRDI QIDQ1893081
Publication date: 3 July 1995
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
numerical exampleseigenvaluesnumerical stabilityparallel algorithmQR algorithmsymmetric tridiagonal matrixdivide and conquer method
Computational methods for sparse matrices (65F50) Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Parallel numerical computation (65Y05)
Cites Work
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- A new look at the Lanczos algorithm for solving symmetric systems of linear equations
- Matrix eigensystem routines - EISPACK guide
- Balancing a matrix for calculation of eigenvalues and eigenvectors
- The QR Transformation A Unitary Analogue to the LR Transformation--Part 1
- Solving the Symmetric Tridiagonal Eigenvalue Problem on the Hypercube
- A Multiprocessor Algorithm for the Symmetric Tridiagonal Eigenvalue Problem
- Forward Instability of Tridiagonal QR
- A Parallel QR Algorithm for Symmetric Tridiagonal Matrices
- A Stable, Rational QR Algorithm for the Computation of the Eigenvalues of an Hermitian, Tridiagonal Matrix
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