A saddle point variational formulation for projection-regularized parameter identification
type: Item
instance of: scholarly article
title: A saddle point variational formulation for projection-regularized parameter identification
zbMATH Open document ID: 1002.65120
author: Barbara Kaltenbacher
author: Joachim Schöberl
published in: Numerische Mathematik
publication date: 2002-07-29T00:00:00Z
review text: The authors discuss the ill-posed parameter identification problem in an elliptic equation. Its solution is obtained by a regular projection method. A number of theorems is developed for explanation. The convergence of the reformulation problem is also proved using the variational equation. A number of experiments and illustration are made for verification of the problem.
reviewed by: Prabhat Kumar Mahanti
Mathematics Subject Classification ID: 65N21
Mathematics Subject Classification ID: 35R25
Mathematics Subject Classification ID: 65N12
Mathematics Subject Classification ID: 65N30
Mathematics Subject Classification ID: 35J25
Mathematics Subject Classification ID: 35R30
zbMATH DE Number: 1773392
zbMATH Keywords: saddle point method
zbMATH Keywords: parameter identification
zbMATH Keywords: convergence
zbMATH Keywords: ill-posed problem
zbMATH Keywords: inverse problem
zbMATH Keywords: numerical examples
zbMATH Keywords: variational equation
MaRDI profile type: Publication
full work available at URL: s002110100350
OpenAlex ID: W1987385356
DOI: 10.1007/S002110100350
description: scientific article; zbMATH DE number 1773392