The minimal norm least squares Hermitian solution of the complex matrix equation AXB+ CXD= E

F Zhang, M Wei, Y Li, J Zhao - Journal of the Franklin Institute, 2018 - Elsevier
In this paper, by applying the real representations of complex matrices, the particular
structure of the real representations and the Moore–Penrose generalized inverse, we obtain …

[HTML][HTML] Definite triples of Hermitian matrices and matrix polynomials

PJ Psarrakos - Journal of computational and applied mathematics, 2003 - Elsevier
Let A, B and C be three n× n nonzero Hermitian matrices. The triple (A, B, C) is called
definite if the convex hull of the joint numerical range F (A, B, C)={(x∗ Ax, x∗ Bx, x∗ Cx)∈ R …

A General Algorithm to Calculate the Inverse Principal -th Root of Symmetric Positive Definite Matrices

D Richters, M Lass, A Walther, C Plessl… - arXiv preprint arXiv …, 2017 - arxiv.org
We address the general mathematical problem of computing the inverse $ p $-th root of a
given matrix in an efficient way. A new method to construct iteration functions that allow …

An Efficient Matrix Iterative Method for Computing Moore–Penrose Inverse

M Kaur, M Kansal, S Kumar - Mediterranean Journal of Mathematics, 2021 - Springer
The aim of this article is to develop and analyze the matrix iterative method for computing the
Moore–Penrose inverse of a given complex matrix. The theoretical analysis of the presented …

QR algorithm with two‐sided Rayleigh quotient shifts

XS Chen, H Xu - Numerical Linear Algebra with Applications, 2023 - Wiley Online Library
We introduce the two‐sided Rayleigh quotient shift to the QR algorithm for non‐Hermitian
matrices to achieve a cubic local convergence rate. For the singly shifted case, the two …

A higher order iterative method for

S Srivastava, DK Gupta - Journal of Applied Mathematics and Computing, 2014 - Springer
The aim of this paper is to propose a higher order iterative method for computing the outer
inverse A^(2)_T,S for a given matrix A. Convergence analysis along with the error bounds of …

Least squares solution with the minimum-norm to general matrix equations via iteration

ZY Li, Y Wang, B Zhou, GR Duan - Applied Mathematics and Computation, 2010 - Elsevier
Two iterative algorithms are presented in this paper to solve the minimal norm least squares
solution to a general linear matrix equations including the well-known Sylvester matrix …

[HTML][HTML] Geometric mean Newton's method for simple and multiple roots

T Lukić, NM Ralević - Applied Mathematics Letters, 2008 - Elsevier
In this work we consider the convergence behavior of a variant of Newton's method based
on the geometric mean. The convergence properties of this method for solving equations …

On the Hermitian and skew-Hermitian splitting-like iteration approach for solving complex continuous-time algebraic Riccati matrix equation

M Dehghan, A Shirilord - Applied Numerical Mathematics, 2021 - Elsevier
Some matrix equations are important in application and studying in various fields of
sciences. One of them is continuous-time algebraic Riccati matrix equation that is an …

[PDF][PDF] Convergence of two-stage iterative methods for Hermitian positive definite matrices

V Migallón, J Penadés - Applied Mathematics Letters, 1997 - academia.edu
Convergence of Two-Stage Iterative Methods for Hermitian Positive Definite Matrices Page 1
Appl. Math. Lett. Vol. 10, No. 3, pp. 79–83, 1997 Pergamon Copyright c 1997 Elsevier Science …