Strong consistency of the projected total least squares dynamic mode decomposition for datasets with random noise
type: Item
instance of: scholarly article
title: Strong consistency of the projected total least squares dynamic mode decomposition for datasets with random noise
author: Kensuke Aishima
published in: Japan Journal of Industrial and Applied Mathematics
publication date: 2023-01-17T00:00:00Z
Mathematics Subject Classification ID: 65F15
Mathematics Subject Classification ID: 15A18
Mathematics Subject Classification ID: 60B12
Mathematics Subject Classification ID: 37M10
zbMATH DE Number: 7642740
zbMATH Keywords: dynamic mode decomposition
zbMATH Keywords: singular value decomposition
zbMATH Keywords: total least squares
zbMATH Keywords: eigenvalue problems
zbMATH Keywords: strong convergence
MaRDI profile type: Publication
full work available at URL: s13160-022-00547-6
OpenAlex ID: W4306249733
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DOI: 10.1007/S13160-022-00547-6
description: scientific article; zbMATH DE number 7642740