Accelerating the Bayesian inference of inverse problems by using data-driven compressive sensing method based on proper orthogonal decomposition
type: Item
instance of: scholarly article
title: Accelerating the Bayesian inference of inverse problems by using data-driven compressive sensing method based on proper orthogonal decomposition
zbMATH Open document ID: 1484.65033
author: Yanyan Li
published in: Electronic Research Archive
publication date: 2021-12-03T00:00:00Z
Mathematics Subject Classification ID: 65D15
Mathematics Subject Classification ID: 65N21
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 60H15
zbMATH DE Number: 7438937
zbMATH Keywords: Bayesian inference
zbMATH Keywords: inverse problems
zbMATH Keywords: data-driven method
zbMATH Keywords: compressive sensing
zbMATH Keywords: proper orthogonal decomposition
describes a project that uses: PDCO
MaRDI profile type: Publication
full work available at URL: era.2021044
OpenAlex ID: W3176805282
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DOI: 10.3934/ERA.2021044
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description: scientific article; zbMATH DE number 7438937