Results 1 to 10 of about 22,742 (108)

Weak dual generalized inverse of a dual matrix and its applications [PDF]

open access: yesHeliyon, 2023
Recently, the dual Moore-Penrose generalized inverse has been applied to study the linear dual equation when the dual Moore-Penrose generalized inverse of the coefficient matrix of the linear dual equation exists.
Hong Li, Hongxing Wang
doaj   +2 more sources

Reverse order law for outer inverses and Moore-Penrose inverse in the context of star order [version 1; peer review: 2 approved] [PDF]

open access: yesF1000Research, 2022
The reverse order law for outer inverses and the Moore-Penrose inverse is discussed in the context of associative rings. A class of pairs of outer inverses that satisfy reverse order law is determined.
Manjunatha Prasad Karantha   +1 more
doaj   +2 more sources

Two Equal Range Operators on Hilbert $C^*$-modules [PDF]

open access: yesSahand Communications in Mathematical Analysis, 2021
In this paper, number of properties, involving invertibility, existence of Moore-Penrose inverse and etc for modular operators with the same ranges on Hilbert $C^*$-modules  are presented.
Ali Reza Janfada, Javad Farokhi-Ostad
doaj   +1 more source

Invers Moore-Penrose pada Matriks Turiyam Simbolik Real

open access: yesJambura Journal of Mathematics, 2023
The symbolic Turiyam matrix is a matrix whose entries contain symbolic Turiyam. Inverse matrices can generally be determined if the matrix is a non-singular square matrix. Currently the inverse of the symbolic Turiyam matrix of size m × n with m 6= n can
Ani Ani, Mashadi Mashadi, Sri Gemawati
doaj   +1 more source

A New Generalized Θ-Inverse vs. Moore-Penrose Structure: A Comparative Control-Oriented Practical Investigation

open access: yesIEEE Access, 2021
A new non-unique $\Theta $ -inverse of non-square polynomial matrices is presented in this paper. It is shown that the above inverse specializes to the unique Moore-Penrose one under several specific assumptions.
Wojciech P. Hunek
doaj   +1 more source

An efficient second‐order neural network model for computing the Moore–Penrose inverse of matrices

open access: yesIET Signal Processing, 2022
The computation of the Moore–Penrose inverse is widely encountered in science and engineering. Due to the parallel‐processing nature and strong‐learning ability, the neural network has become a promising approach to solving the Moore–Penrose inverse ...
Lin Li, Jianhao Hu
doaj   +1 more source

Existence of Moore-Penrose inverses in rings with involution [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2018
We give necessary and sufficient conditions for the existence of the Moore-Penrose inverse of an element in a ring with involution. If R is a ring with involution, we also investigate the existence of the Moore-Penrose inverse of the product 1 2 n x
Wannisa Apairat, Sompong Chuysurichay
doaj   +1 more source

A Parallel Computing Method for the Computation of the Moore–Penrose Generalized Inverse for Shared-Memory Architectures

open access: yesIEEE Access, 2023
The computation of the Moore–Penrose generalized inverse is a commonly used operation in various fields such as the training of neural networks based on random weights.
Elkin Gelvez-Almeida   +3 more
doaj   +1 more source

Calculating the Moore–Penrose Generalized Inverse on Massively Parallel Systems

open access: yesAlgorithms, 2022
In this work, we consider the problem of calculating the generalized Moore–Penrose inverse, which is essential in many applications of graph theory.
Vukašin Stanojević   +4 more
doaj   +1 more source

A Neural Network for Moore–Penrose Inverse of Time-Varying Complex-Valued Matrices

open access: yesInternational Journal of Computational Intelligence Systems, 2020
The Moore–Penrose inverse of a matrix plays a very important role in practical applications. In general, it is not easy to immediately solve the Moore–Penrose inverse of a matrix, especially for solving the Moore–Penrose inverse of a complex-valued ...
Yiyuan Chai   +4 more
doaj   +1 more source

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