Abstract | ||
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This paper deals with the case when the α − β generalized inverse A α , β (−1) is a linear transformation, in which case we give a splitting iterative method for A α , β (−1) . We also show that in the case of linear transformation, the α − β generalized inverse A α , β (−1) is a {1,2}-inverse of the matrix A with prescribed range and null space, based on which we propose a iterative method of calculating the unique α -approximate solution of minimal β -norm of the system Ax = b . The results extend some previous results about the Moore–Penrose inverse A + and the weighted Moore–Penrose inverse A M , N + . |
Year | DOI | Venue |
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2003 | 10.1016/S0096-3003(02)00481-2 | Applied Mathematics and Computation |
Keywords | DocType | Volume |
Splitting method,α − β generalized inverse,Essentially strictly convex norms | Journal | 145 |
Issue | ISSN | Citations |
2 | Applied Mathematics and Computation | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
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Jing Cai | 1 | 0 | 0.34 |
Guo-Liang Chen | 2 | 106 | 17.84 |