Singular Value Decomposition of Spatial Matrices

Singular value decomposition is a basic building block which is used in solution of many different problems. In cases when dimensionality of a problem exceeds two, a generalization of a singular value decomposition – tensor decompositions – are used. There is only one problem: the usage of tensor de...

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Bibliographic Details

Published in:	Современные информационные технологии и IT-образование
Main Authors:	Pavel Iljin, Tatiana Samoilova
Format:	Article
Language:	Russian
Published:	The Fund for Promotion of Internet media, IT education, human development «League Internet Media» 2022-10-01
Subjects:	multidimensional matrix algebra matrix decomposition singular value decomposition
Online Access:	http://sitito.cs.msu.ru/index.php/SITITO/article/view/898