Evaluating Novel Matrix-Vector Multiplication Strategies in the LSTRS and TRUSTµ Methods for Large-Scale Trust-Region Subproblems and Regularization

In the regularization of ill-posed problems from image restoration, where we want to recover an image from blurred and noisy data, there are many methods that can be useful. Among those, the TRUSTmu method proposed in Rojas and Steihaug, 2002, is an efficient method for solving large-scale regularization problems with additional non-negativity...