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Iteratively Regularized Gauss-Newton Method for Bound-Constraint Problems in Atmospheric Remote Sensing

Doicu, Adrian and Schreier, Franz and Hess, Michael (2003) Iteratively Regularized Gauss-Newton Method for Bound-Constraint Problems in Atmospheric Remote Sensing. Computer Physics Communication, 153 (1), pp. 59-65.

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Abstract

In this paper two algorithms for the solution of nonlinear ill-posed problems with simple bounds on the variables are presented. The proposed algorithms are bound-constraint versions of the iteratively regularized Gauss-Newton method. The numerical performances of the algorithms are studied by means of simulations concerning the retrieval of molecular concentrations from limb sounding observations. For these examples, the unconstrained algorithm leads to unreasonable solutions.

Document Type:Article
Additional Information: LIDO-Berichtsjahr=2003,
Title:Iteratively Regularized Gauss-Newton Method for Bound-Constraint Problems in Atmospheric Remote Sensing
Authors:
AuthorsInstitution or Email of Authors
Doicu, AdrianUNSPECIFIED
Schreier, FranzUNSPECIFIED
Hess, MichaelUNSPECIFIED
Date:2003
Journal or Publication Title:Computer Physics Communication
Refereed publication:Yes
In ISI Web of Science:Yes
Volume:153
Page Range:pp. 59-65
Status:Published
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Deposited By: elib DLR-Beauftragter
Deposited On:26 Jan 2006
Last Modified:06 Jan 2010 22:16

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