In a recent publication (Eghtesad et al., 2018), we have reported a message passing
interface (MPI)-based domain decomposition parallel implementation of an elasto …

Kernel density estimation, which is a non-parametric method about estimating probability
density distribution of random variables, has been used in feature selection. However …

The growing popularity of multihoming mobile terminals has encouraged the use of
concurrent multipath transfer (CMT) to provide network diversity and accelerated content …

An integration-enhanced noise-tolerant zeroing neural network (IENTZNN) model for
computing various expressions involving outer inverses is defined and considered. 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 …

This article considers the iterative approach for finding the Moore–Penrose inverse of a
matrix. A convergence analysis is presented under certain conditions, demonstrating that the …

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 …

A varying-parameter ZNN (VPZNN) neural design is defined for approximating various
generalized inverses and expressions involving generalized inverses of complex matrices …