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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/339980
Title: On the generalized inverse Moore-Penrose matrix for multidimensional matrices
Authors: Mukha, V. S.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
Issue Date: 2025
Publisher: Minsk : BSU
Citation: Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIV Intern. Conf., Minsk, Sept. 24–27, 2025 / Belarusian State Univ. ; eds.: Yu. Kharin (ed.-in-chief) [et al.]. – Minsk : BSU, 2025. – Pp. 194-197.
Abstract: The article is devoted to dissemination of the known for the usual matrices generalized inverse Moore-Penrose matrix to the multidimensional matrices. At first, the generalized inverse Moore-Penrose matrix for the usual matrices is considered. Then the definition of the generalized Moore-Penrose inverse matrix for the multidimensional matrix is introduced and two theorems about the properties of this matrix are presented. The example on use the multidimensional generalized inverse Moore-Penrose matrix in the problem of the multidimensional-matrix polynomial regression is given
URI: https://elib.bsu.by/handle/123456789/339980
ISBN: 978-985-881-830-2
Licence: info:eu-repo/semantics/restrictedAccess
Appears in Collections:2025. Computer Data Analysis and Modeling: Stochastics and Data Science

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