Moore–Penrose inverse of tensors via Einstein product

L Sun, B Zheng, C Bu, Y Wei - Linear and Multilinear Algebra, 2016 - Taylor & Francis
In this paper, we define the Moore–Penrose inverse of tensors with the Einstein product, and
the explicit formulas of the Moore–Penrose inverse of some block tensors are obtained. The …

Canonical correlation-based model selection for the multilevel factors

I Choi, R Lin, Y Shin - Journal of Econometrics, 2023 - Elsevier
We develop a novel approach based on the canonical correlation analysis to identify the
number of the global factors in the multilevel factor model. We propose the two consistent …

On the Moore-Penrose pseudo-inversion of block symmetric matrices and its application in the graph theory

S Pavlíková, D Ševčovič - Linear Algebra and its Applications, 2023 - Elsevier
The purpose of this paper is to analyze the Moore-Penrose pseudo-inversion of symmetric
real matrices with application in the graph theory. We introduce a novel concept of positively …

Generalization of the Moore–Penrose inverse

KS Stojanović, D Mosić - Revista de la Real Academia de Ciencias …, 2020 - Springer
In order to extend the notation of the Moore–Penrose inverse from an operator with closed
range to a generalized Drazin invertible operator, we present a new generalized inverse …

COMBSS: best subset selection via continuous optimization

S Moka, B Liquet, H Zhu, S Muller - Statistics and Computing, 2024 - Springer
The problem of best subset selection in linear regression is considered with the aim to find a
fixed size subset of features that best fits the response. This is particularly challenging when …

Inversion and pseudoinversion of block arrowhead matrices

PS Stanimirović, VN Katsikis, D Kolundžija - Applied Mathematics and …, 2019 - Elsevier
One important application of the Sherman–Morrison formula is the construction of an
efficient method for computing the inverse of an arrowhead matrix. Our intention is to apply …

On the locality of the natural gradient for learning in deep Bayesian networks

N Ay - Information Geometry, 2023 - Springer
We study the natural gradient method for learning in deep Bayesian networks, including
neural networks. There are two natural geometries associated with such learning systems …

A Novel Theoretical Model Development and Simulation of Melt‐Electrospinning Using Kane's and Udwadia–Kalaba Methods

A Wubneh, C Ayranci, CIL Kim - Advanced Theory and …, 2022 - Wiley Online Library
A novel analytical model development and simulation of melt‐electrospinning process is
presented. Unconstrained equations of motion for the description of a discretized melt …

Complementable Operators and their Schur Complements

SM Naik, PS Johnson - arxiv preprint arxiv:2406.11457, 2024 - arxiv.org
In this paper, we characterize complementable operators and provide more precise
expressions for the Schur complement of these operators using a single Douglas solution …

Generalization of the Sherman–Morrison–Woodbury formula involving the Schur complement

X Xu - Applied Mathematics and Computation, 2017 - Elsevier
Abstract Let X∈ C m× m and Y∈ C n× n be nonsingular matrices, and let N∈ C m× n.
Explicit expressions for the Moore–Penrose inverses of M= XNY and a two-by-two block …