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The optimal regularization parameter is usually unknown and often in practical problems is determined by an ad hoc method.
A possible approach relies on the Bayesian interpretation described above.
Other approaches include the discrepancy principle, cross-validation, L-curve method, restricted maximum likelihood and unbiased predictive risk estimator.
Grace Wahba proved that the optimal parameter, in the sense of leave-one-out cross-validation minimizes:

1.817 seconds.