The aim of this project is to develop a new MATLAB software package that consists of state-of-the-art iterative methods to solve large scale ill-posed inverse problems. The package allows users to easily experiment with different iterative methods (including several new approaches) and regularization strategies with very little programming effort. The package also includes several test problems and examples to illustrate how the iterative methods can be used on a variety of large-scale inverse problems.

PI: James Nagy

This is joint work with Silvia Gazzola, University of Bath, and Per Christian Hansen, Technical University of Denmark.