Generalized Inverses Estimations by Means of Iterative Methods with Memory
A secant-type method is designed for approximating the inverse and some generalized inverses of a complex matrix A. For a nonsingular matrix, the proposed method gives us an approximation of the inverse and, when the matrix is singular, an approximation of the Moore–Penrose inverse and Drazin invers...
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| Veröffentlicht in: | Mathematics (Basel) 2020-01, Vol.8 (1), p.2 |
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| creator | Artidiello, Santiago Cordero, Alicia Torregrosa, Juan R. P. Vassileva, María |
| description | A secant-type method is designed for approximating the inverse and some generalized inverses of a complex matrix A. For a nonsingular matrix, the proposed method gives us an approximation of the inverse and, when the matrix is singular, an approximation of the Moore–Penrose inverse and Drazin inverse are obtained. The convergence and the order of convergence is presented in each case. Some numerical tests allowed us to confirm the theoretical results and to compare the performance of our method with other known ones. With these results, the iterative methods with memory appear for the first time for estimating the solution of a nonlinear matrix equations. |
| doi_str_mv | 10.3390/math8010002 |
| format | Article |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Approximation Convergence Food science Iterative methods Mathematical analysis Methods Partial differential equations |
| title | Generalized Inverses Estimations by Means of Iterative Methods with Memory |
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