A higher order family of iterative methods for approximating inverse and generalized inverse matrices
Abstract
The development of efficient iterative schemes for approximating the inverse and generalized inverse matrices is important in my research fields. To this end, a family of fourth-order matrix iterative schemes for approximating the inverse and generalized inverse matrices is established by incorporating an appropriate weight function into the scalar Heun method. Moreover, a fifth-order matrix iterative scheme is obtained as a particular member of the proposed family. Under suitable conditions, the theoretical order of convergence is determined for the proposed family, whose stable members are identified through dynamical analysis. To assess their performance and verify the consistency of the theoretical results, some numerical tests are performed on matrices of different sizes.
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BibTeX
@misc{cordero2026higher,
title = {{A higher order family of iterative methods for approximating inverse and generalized inverse matrices}},
author = {Alicia Cordero and Bushra Rani and Juan R. Torregrosa},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.07064},
eprint = {2610.07064},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.07064},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - A higher order family of iterative methods for approximating inverse and generalized inverse matrices
AU - Alicia Cordero
AU - Bushra Rani
AU - Juan R. Torregrosa
PY - 2026
DA - 2026/10/05
PB - arXiv
DO - 10.48550/arxiv.2610.07064
UR - https://arxiv.org/abs/2610.07064
AB - The development of efficient iterative schemes for approximating the inverse and generalized inverse matrices is important in my research fields. To this end, a family of fourth-order matrix iterative schemes for approximating the inverse and generalized inverse matrices is established by incorporating an appropriate weight function into the scalar Heun method. Moreover, a fifth-order matrix iterative scheme is obtained as a particular member of the proposed family. Under suitable conditions, the theoretical order of convergence is determined for the proposed family, whose stable members are identified through dynamical analysis. To assess their performance and verify the consistency of the theoretical results, some numerical tests are performed on matrices of different sizes.
ER -