A regularized Newton-like method for solving nonnegative least-squares problems is proposed and analysed in this paper. A preconditioner for KKT systems arising in the method is introduced and spectral properties of the preconditioned matrix are analysed. A bound on the condition number of the preconditioned matrix is provided. The bound does not depend on the interior-point scaling matrix. Preliminary computational results confirm the effectiveness of the preconditioner and fast convergence of the iterative method established by the analysis performed in this paper.
Citation
Technical Report MS-07-004, School of Mathematics, The University of Edinburgh, August 31, 2007.
Article
View Regularization and Preconditioning of KKT Systems Arising in Nonnegative Least-Squares Problems