Morozov’s Principle for the Augmented Lagrangian Method Applied to Linear Inverse Problems

Beyond convergence rates: exact recovery with the Tikhonov regularization with sparsity constraints

(2011) D A Lorenz et al.   INVERSE PROBLEMS

Necessary and sufficient conditions for linear convergence of ℓ1-regularization

(2010) Markus Grasmair et al.   COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS

Regularization of ill-posed linear equations by the non- stationary augmented Lagrangian method

(2010) Klaus Frick et al.   Journal of Integral Equations and Applications

Sparse regularization withlqpenalty term

(2008) Markus Grasmair et al.   INVERSE PROBLEMS

Linear Convergence of Iterative Soft-Thresholding

(2008) Kristian Bredies et al.   JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS

Convergence rates and source conditions for Tikhonov regularization with sparsity constraints

(2008) D. A. Lorenz   Journal of Inverse and Ill-Posed Problems