Past exam of the mathematics course of the University of Cambridge / 2021 / iii / Paper 326 / 1 / 1 / 3 / b / Solution

The regularization parameter is the stopping index $k$: increasing $k$ reduces the approximation bias but amplifies noise. Equivalently one may use the parameter $\alpha =1/k$, which tends to zero as $k\to \infty$.