An efficient matrix iteration family for finding the generalized outer inverse

作者:

Highlights:

• This article presents a new iterative family having ninth-order convergence for computing the generalized outer inverse.

• The proposed scheme requires only seven matrix multiplications at each iterations, but for the specific parameters, it uses only five matrix multi- plications.

• The detailed theoretical convergence analysis is presented.

• A wide range of random numerical examples is included for comparing the proposed iterations with existing methods.

• It is demonstrated that the proposed methods are computationally effcient and provides an attractive alternative for computing the generalized inverse in practice.

摘要

•This article presents a new iterative family having ninth-order convergence for computing the generalized outer inverse.•The proposed scheme requires only seven matrix multiplications at each iterations, but for the specific parameters, it uses only five matrix multi- plications.•The detailed theoretical convergence analysis is presented.•A wide range of random numerical examples is included for comparing the proposed iterations with existing methods.•It is demonstrated that the proposed methods are computationally effcient and provides an attractive alternative for computing the generalized inverse in practice.

论文关键词:Generalized outer inverse,Schulz-type method,Rectangular matrices,Matrix multiplications,Rate of convergence

论文评审过程:Received 19 July 2020, Revised 11 February 2021, Accepted 31 May 2022, Available online 11 June 2022, Version of Record 11 June 2022.

论文官网地址:https://doi.org/10.1016/j.amc.2022.127292