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that as , the constraint eventually becomes non-binding, and the ridge estimator converges to the minimum-norm ordinary least squares estimator, here denoted as :

with denoting the pseudoinverse of .

Determination of the Tikhonov parameter

The optimal regularization parameter is usually unknown and in practice needs to be estimated. Typically, a data-driven choice for

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