In the last decades, the Moore–Penrose pseudoinverse has found a wide range of
applications in many areas of science and became a useful tool for physicists dealing, for …

As a special class of recurrent neural network, Zhang neural network (ZNN) has been
recently proposed since 2001 for solving various time-varying problems, and has shown …

We propose a novel method for object reconstruction of ghost imaging based on Pseudo-
Inverse, where the original objects are reconstructed by computing the pseudo-inverse of …

The advancement of systems with the capacity to compress audio signals and
simultaneously secure is a highly attractive research subject. This is because of the need to …

Abstract The Moore–Penrose inverse celebrated its 100th birthday in 2020, as the notion
standing behind the term was first defined by Eliakim Hastings Moore in 1920 (Bull Am Math …

This paper analyzes the existing zeroing neural network (ZNN) models from the perspective
of control theory. It proposes an exclusive ZNN model for solving the dynamic complex …

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 …

To handle the future Moore–Penrose inverse problem effectively, the continuous gradient-
zeroing neural dynamics (CGZND) model without inverse computing is proposed via …

The issue of complex-valued time-dependent pseudoinverse often exists in science and
engineering fields. In the existing studies, many models were presented for solving complex …

In this work, we consider the problem of calculating the generalized Moore–Penrose
inverse, which is essential in many applications of graph theory. We propose an algorithm …