Publisher DOI: 10.11650/twjm/1500405873
Title: Solving regularized total least squares problems based on eigenproblems
Language: English
Authors: Lampe, Jörg 
Voß, Heinrich 
Issue Date: Jun-2010
Publisher: The Mathematical Society of the Republic of China (Taiwan)
Source: Taiwanese Journal of Mathematics 3 A (14): 885-909 (2010)
Abstract (english): 
The total least squares (TLS) method is a successful approach for linear problems if both the system matrix and the right hand side are contaminated by some noise. For ill-posed TLS problems regularization is necessary to stabilize the computed solution. In this paper we summarize two iterative methods which are based on a sequence of eigenproblems. The focus is on efficient implementation with particular emphasis on the reuse of information gained during the convergence history.
URI: http://hdl.handle.net/11420/3954
ISSN: 2224-6851
Institute: Mathematik E-10 
Numerische Simulation E-10 (H) 
Document Type: Article
Journal: Taiwanese journal of mathematics 
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