A divide-and-conquer approach for the computation of the Moore-Penrose inverses
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Publication:2180674
DOI10.1016/j.amc.2020.125265OpenAlexW3016281326MaRDI QIDQ2180674
Publication date: 14 May 2020
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2020.125265
Theory of matrix inversion and generalized inverses (15A09) Direct numerical methods for linear systems and matrix inversion (65F05)
Cites Work
- A new method for computing Moore-Penrose inverse through Gauss-Jordan elimination
- Gauss-Jordan elimination methods for the Moore-Penrose inverse of a matrix
- Computing \(\{2,4\}\) and \(\{2,3\}\)-inverses by using the Sherman-Morrison formula
- Method of elementary transformation to compute Moore-Penrose inverse
- Execute elementary row and column operations on the partitioned matrix to compute M-P inverse \(A^!\)
- Computing the pseudoinverse of specific Toeplitz matrices using rank-one updates
- Relationships between generalized inverses of a matrix and generalized inverses of its rank-one-modifications
- A note of computation for M-P inverseA†
- Inverse of a perturbed matrix
- The generalized inverses of perturbed matrices
- Some Applications of the Pseudoinverse of a Matrix
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