On the generalized inverse Moore-Penrose matrix for multidimensional matrices

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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/339980

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DC Field	Value	Language
dc.contributor.author	Mukha, V. S.
dc.date.accessioned	2026-01-13T10:14:47Z	-
dc.date.available	2026-01-13T10:14:47Z	-
dc.date.issued	2025
dc.identifier.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.
dc.identifier.isbn	978-985-881-830-2
dc.identifier.uri	https://elib.bsu.by/handle/123456789/339980	-
dc.description.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
dc.language.iso	en
dc.publisher	Minsk : BSU
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
dc.title	On the generalized inverse Moore-Penrose matrix for multidimensional matrices
dc.type	conference paper
Appears in Collections:	2025. Computer Data Analysis and Modeling: Stochastics and Data Science

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