Efficient computation of tridiagonal matrices largest eigenvalue
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Publication:1675958
DOI10.1016/j.cam.2017.08.008zbMath1376.65048OpenAlexW2750597507MaRDI QIDQ1675958
Diego F. G. Coelho, Vassil S. Dimitrov, Logan Rakai
Publication date: 3 November 2017
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2017.08.008
Computational methods for sparse matrices (65F50) Numerical computation of eigenvalues and eigenvectors of matrices (65F15)
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- Tridiagonal test matrices for eigenvalue computations: two-parameter extensions of the Clement matrix
- Matrix multiplication via arithmetic progressions
- A fast numerical algorithm for the inverse of a tridiagonal and pentadiagonal matrix
- Eigenvalues of a symmetric tridiagonal matrix: A divide-and-conquer approach
- A Divide and Conquer method for the symmetric tridiagonal eigenproblem
- Inversion of general tridiagonal matrices
- Improved bound for complexity of matrix multiplication
- Powers of tensors and fast matrix multiplication
- Fast Algorithms for Signal Processing
- A Fully Parallel Algorithm for the Symmetric Eigenvalue Problem
- A Review on the Inverse of Symmetric Tridiagonal and Block Tridiagonal Matrices
- Jacobi’s Method is More Accurate than QR
- Analytical inversion of general tridiagonal matrices
- A Stable and Efficient Algorithm for the Rank-One Modification of the Symmetric Eigenproblem
- A Divide-and-Conquer Algorithm for the Symmetric Tridiagonal Eigenproblem
- Accuracy and Stability of Numerical Algorithms
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