Applied Mathematics and Computation, vol.218, no.20, pp.10180-10187, 2012 (SCI-Expanded, Scopus)
In this paper, we propose a new method for solving large-scale ill-posed problems. This method is based on the Karush-Kuhn-Tucker conditions, Fisher-Burmeister function and the discrepancy principle. The main difference from the majority of existing methods for solving ill-posed problems is that, we do not need to choose a regularization parameter in advance. Experimental results show that the proposed method is effective and promising for many practical problems. © 2012 Elsevier Inc. All rights reserved.