# A Framework for Regularization via Operator Approximation

@article{Chung2015AFF, title={A Framework for Regularization via Operator Approximation}, author={Julianne Chung and Misha Elena Kilmer and Dianne P. O’Leary}, journal={SIAM J. Sci. Comput.}, year={2015}, volume={37} }

Regularization approaches based on spectral filtering can be highly effective in solving ill-posed inverse problems. These methods, however, require computing the singular value decomposition (SVD) and choosing appropriate regularization parameters. These tasks can be prohibitively expensive for large-scale problems. In this paper, we present a framework that uses operator approximations to efficiently obtain good regularization parameters without an SVD of the original operator. Instead, we…

## 21 Citations

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