Lampe, JörgJörgLampeVoß, HeinrichHeinrichVoß2019-07-162019-07-162008-02-15Mathematical Modelling and Analysis 1 (13): 55-66 (2008)http://hdl.handle.net/11420/2924The total least squares (TLS) method is a successful approach for linear problems if both the matrix and the right hand side are contaminated by some noise. In a recent paper Sima, Van Huffel and Golub suggested an iterative method for solving regularized TLS problems, where in each iteration step a quadratic eigenproblem has to be solved. In this paper we prove its global convergence, and we present an efficient implementation using an iterative projection method with thick updates.en1648-3510200815566Vilnius Gediminas Technical Universityhttps://creativecommons.org/licenses/by/4.0/total least squares methodregularizationquadratic eigenvalue problemMathematikJournal Articleurn:nbn:de:gbv:830-882.04382110.15480/882.232810.3846/1392-6292.2008.13.55-6610.15480/882.2328Journal Article