Remarks on choosing a regularization parameter using the quasioptimality and ratio criterion

A new L-curve for ill-posed problems

Journal of Computational and Applied Mathematics

Choice of the regularization parameter in ill-posed problems with rough estimate of the noise level of data

MATH'05 Proceedings of the 7th WSEAS International Conference on Applied Mathematics

A new variant of L-curve for Tikhonov regularization

Journal of Computational and Applied Mathematics

Parameter choice methods using minimization schemes

Journal of Complexity

Heuristic Parameter-Choice Rules for Convex Variational Regularization Based on Error Estimates

SIAM Journal on Numerical Analysis

Comparison of parameter choices in regularization algorithms in case of different information about noise level

Calcolo: a quarterly on numerical analysis and theory of computation

Original Article: Comparingparameter choice methods for regularization of ill-posed problems

Mathematics and Computers in Simulation

A Regularization Parameter for Nonsmooth Tikhonov Regularization

SIAM Journal on Scientific Computing

A family of rules for parameter choice in Tikhonov regularization of ill-posed problems with inexact noise level

Journal of Computational and Applied Mathematics

Old and new parameter choice rules for discrete ill-posed problems

Numerical Algorithms