A regularized randomized iterative approximation method converges in expectation to the regularized least-squares fit, with a heuristic formula for the optimal regularization parameter.
On a progressive and iterative approximation method with memory for least square fitting
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A randomized progressive iterative regularization method for data fitting problems
A regularized randomized iterative approximation method converges in expectation to the regularized least-squares fit, with a heuristic formula for the optimal regularization parameter.