A regularized randomized iterative approximation method converges in expectation to the regularized least-squares fit, with a heuristic formula for the optimal regularization parameter.
Distributed tikhonov regularization for ill- posed inverse problems from a bayesian perspective
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
math.NA 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
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.