A semismooth* Newton method is developed for efficient TV-regularized solution of large-scale linear inverse problems, with locally superlinear convergence and demonstrated use in tomography.
Convergence rates of convex variational regularization.Inverse Problems, 20(5):1411–1421
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Efficient TV regularization of large-scale linear inverse problems via the SCD semismooth* Newton method with applications in tomography
A semismooth* Newton method is developed for efficient TV-regularized solution of large-scale linear inverse problems, with locally superlinear convergence and demonstrated use in tomography.