Regularization techniques for ill-posed inverse problems in data assimilation
type: Item
instance of: scholarly article
title: Regularization techniques for ill-posed inverse problems in data assimilation
zbMATH Open document ID: 1433.65107
published in: Computers and Fluids
publication date: 2011-05-19T00:00:00Z
Mathematics Subject Classification ID: 65J22
Mathematics Subject Classification ID: 65M32
zbMATH DE Number: 5897537
zbMATH Keywords: ill-posed inverse problems
zbMATH Keywords: Tikhonov and \(L_{1}\) regularization
zbMATH Keywords: variational data assimilation
zbMATH Keywords: nonlinear least-squares optimization
zbMATH Keywords: model error
zbMATH Keywords: Burgers' equation
author: C. J. Budd
author: Melina A. Freitag
author: N. K. Nichols
MaRDI profile type: Publication
full work available at URL: j.compfluid.2010.10.002
OpenAlex ID: W2118558328
cites work: Q4895893
cites work: Q5689624
cites work: Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration
cites work: Deblurring Images
cites work: Very large inverse problems in atmosphere and ocean modelling
cites work: Q4889859
DOI: 10.1016/J.COMPFLUID.2010.10.002
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description: scientific article; zbMATH DE number 5897537