Regularization parameter choice
= Regularization parameter choice
A regularization parameter choice selects the amount of stabilization from the noise level, the measured data, or both. For Tikhonov regularization with deterministic error at most $\delta$, a sufficient a priori condition for convergence is $\alpha(\delta)\to0$ and $\delta/\sqrt{\alpha(\delta)}\to0$.