Per Christian Hansen, Regularization Tools. A Matlab Package for Analysis and Solution of Discrete Ill-Posed Problems

Manual, Lyngby (Denmark), Technical University of Denmark, 2008, p. 126.
Changes from Earlier Versions.
ntroduction.
Discrete Ill-Posed Problems and their Regularization.
Discrete Ill-Posed Problems.
Regularization Methods.
SVD and Generalized SVD.
The Discrete Picard Condition and Filter Factors.
The L-Curve.
Transformation to Standard Form.
Direct Regularization Methods.
terative Regularization Methods.
Methods for Choosing the Regularization Parameter.
New Functions in Version 4.1.
Regularization Tools Tutorial.
The Discrete Picard Condition.
Filter Factors.
The L-Curve.
Regularization Parameters.
Standard Form Versus General Form.
No Square Integrable Solution.
Regularization Tools Reference.
Routines by Subject Area.
The Test Problems.
Alphabetical List of Routines.
Bibliography.