The Handbook of Linear Algebra provides comprehensive coverage of linear algebra
concepts, applications, and computational software packages in an easy-to-use handbook …

In this paper, we derive a successive matrix squaring (SMS) algorithm to approximate an
outer generalized inverse with prescribed range and null space of a given matrix A∈ Crm× …

Based on a quadratical convergence method, a family of iterative methods to compute the
approximate inverse of square matrix are presented. The theoretical proofs and numerical …

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 …

The general discretization scheme for transforming continuous-time ZNN models for matrix
inversion and pseudoinversion into corresponding discrete-time iterative methods is …

In this paper, we introduce a full-rank representation of the generalized inverse AT, S (2) of a
given complex matrix A, which is based on an arbitrary full-rank decomposition of G, where …

This paper improves on generalized properties of a family of iterative methods to compute
the approximate inverses of square matrices originally proposed in [1]. And while the …

This volume is a collection of solicited and refereed articles from distinguished researchers
across the field of stochastic analysis and its application to finance. The articles represent …

Two linear recurrent neural networks for generating outer inverses with prescribed range
and null space are defined. Each of the proposed recurrent neural networks is based on the …