Linear regularization
= Linear regularization
A linear regularization uses a family of <bounded linear operators> $R_\alpha$ such that $R_\alpha f\to K^\dagger f$ for each $f\in\mathcal D(K^\dagger)$. A <regularization parameter choice> must balance approximation error with noise amplification to obtain a <convergent regularization of an inverse problem>.