QR decomposition (QRD) is of fundamental importance for matrix factorization in both real
and complex cases. In this paper, by using zeroing neural dynamics method, a continuous …

The computation of the Moore–Penrose inverse of structured strictly totally positive matrices
is addressed. Since these matrices are usually very ill-conditioned, standard algorithms fail …

Tensor computations play an essential role in various fields of science and engineering,
including multiway data analysis. In this study, we established a few basic properties of the …

Our first aim is to extend the Zhang Neural Network (ZNN) algorithmic conceptual
framework, developed so far in the computation of the matrix inverse, pseudoinverse, and …

The main contribution of this paper is to develop explicit expressions for the Drazin inverse
of two kinds of anti-triangular block complex matrices under new assumptions. Further, we …

In this paper, we investigate the weighted core-EP inverse introduced by Ferreyra, Levis and
Thome. Several computational representations of the weighted core-EP inverse are …

Several new representations of the W-weighted Drazin inverse are introduced. These
representations are expressed in terms of various matrix powers as well as in terms of matrix …

The aim of this paper is to introduce two new classes of square matrices, which are called
the Drazin-star and star-Drazin matrices, in order to solve some type of matrix equations …

Various compositions of the Drazin inverse, the group inverse or the core-EP inverse with
the Moore-Penrose inverse have investigated last years. Solving some type of matrix …

In this paper, for the first time in literature, we introduce one-sided weighted inverses and
extend the notions of one-sided inverses, outer inverses and inverses along given elements …