Lampe, JörgJörgLampeVoß, HeinrichHeinrichVoß2019-12-052019-12-052010-06Taiwanese Journal of Mathematics 3 A (14): 885-909 (2010)http://hdl.handle.net/11420/3954The 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.en2224-6851Taiwanese journal of mathematics20103 A885909The Mathematical Society of the Republic of China (Taiwan)MathematikSolving regularized total least squares problems based on eigenproblemsJournal Article10.11650/twjm/1500405873Other