A general heuristic for choosing the regularization parameter in ill-posed problems

For a variety of regularization methods, including Tikhonov regularization, Landweber iteration, $\nu $-method iteration, and the method of conjugate gradients, we develop and illustrate a heuristic for choosing an appropriate regularization parameter. Our choice requires no particular a priori know...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	SIAM journal on scientific computing 1996-07, Vol.17 (4), p.956-972
Hauptverfasser:	HANKE, M, RAUS, T
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Approximation Exact sciences and technology Heuristic Mathematics Noise Numerical analysis Numerical analysis in abstract spaces Numerical analysis. Scientific computation Regularization methods Sciences and techniques of general use
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!