Convergent regularization of an inverse problem
= Convergent regularization of an inverse problem
A regularization $R_\alpha$ is convergent when its parameter can be chosen from the noise level and data so that the regularized reconstruction converges to the exact <Moore–Penrose inverse of an operator> solution as the noise level tends to zero.