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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 …
the explicit formulas of the Moore–Penrose inverse of some block tensors are obtained. The …
Canonical correlation-based model selection for the multilevel factors
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 …
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
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 …
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 …
range to a generalized Drazin invertible operator, we present a new generalized inverse …
COMBSS: best subset selection via continuous optimization
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 …
fixed size subset of features that best fits the response. This is particularly challenging when …
Inversion and pseudoinversion of block arrowhead matrices
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 …
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 …
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 novel analytical model development and simulation of melt‐electrospinning process is
presented. Unconstrained equations of motion for the description of a discretized melt …
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 …
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 …
Explicit expressions for the Moore–Penrose inverses of M= XNY and a two-by-two block …