A shift‐splitting Jacobi‐gradient iterative algorithm for solving the matrix equation A𝒱−𝒱‾B=C

Author:

Bayoumi Ahmed M. E.1ORCID

Affiliation:

1. Department of Mathematics, Faculty of Education Ain Shams University Cairo Egypt

Abstract

AbstractTo improve the convergence of the gradient iterative (GI) algorithm and the Jacobi‐gradient iterative (JGI) algorithm [Bayoumi, Appl Math Inf Sci, 2021], a shift‐splitting Jacobi‐gradient iterative (SSJGI) algorithm for solving the matrix equation is presented in this paper, which is based on the splitting of the coefficient matrices. The proposed algorithm converges to the exact solution for any initial value with some conditions. To demonstrate the effectiveness of the SSJGI algorithm and to compare it to the GI algorithm and the JGI algorithm [Bayoumi, Appl Math Inf Sci, 2021], numerical examples are provided.

Publisher

Wiley

Reference25 articles.

1. Iterative solutions to the extended Sylvester-conjugate matrix equations

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4. A shift‐splitting Jacobi‐gradient algorithm for Lyapunov matrix equations arising from control theory;Li SK;J Comput Anal Appl,2011

5. A Relaxed Gradient Based Algorithm for Solving Extended Sylvester-Conjugate Matrix Equations

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