/regularization-toolkit

Some Python implementations of regularization parameter selection methods for regularized linear inverse problems.

Primary LanguageJupyter NotebookMIT LicenseMIT

regularization-toolkit

Some Python implementations of regularization parameter selection methods for regularized linear inverse problems.

References

[1] Toby Sanders, Rodrigo B. Platte, & Robert D. Skeel (2020). Effective new methods for automated parameter selection in regularized inverse problems. Applied Numerical Mathematics, 152, 29-48.

[2] Hansen, P.C. (2010). Discrete Inverse Problems: Insight and Algorithms.