Risk estimators for choosing regularization parameters in ill-posed problems - properties and limitations

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Discussion Paper / SFB823 ; 3, 2017

Classification: Mathematik

Event: Veröffentlichung

(where): Dortmund

(who): Universitätsbibliothek Dortmund

(when): 2017

Creator: Lucka, Felix
Proksch, Katharina
Brune, Christoph
Bissantz, Nicolai
Burger, Martin
Dette, Holger
Wübbeling, Frank

Handle: 2003/35772

URN: urn:nbn:de:101:1-2017020390

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:54 PM CET

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Associated

Lucka, Felix
Proksch, Katharina
Brune, Christoph
Bissantz, Nicolai
Burger, Martin
Dette, Holger
Wübbeling, Frank
Universitätsbibliothek Dortmund

Time of origin

2017

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Risk estimators for choosing regularization parameters in ill-posed problems - properties and limitations

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Other Objects (12)

Regularization algorithms for ill-posed problems

Iterated Tikhonov regularization for linear ill-posed problem

Regularization theory for Ill-posed problems : selected topics

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Regularization Methods for Ill-Posed Optimal Control Problems

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Iterative regularization methods for nonlinear ill posed problems

Regularization Methods for Ill-Posed Optimal Control Problems

Ill-posed inverse problems and their optimal regularization

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Adaptive frame based regularization methods for linear ill-posed inverse problems

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