Software by Per Christian Hansen   Click the logos for information

Matlab Software for Regularization of Discrete Ill-Posed Problems

• AIR Tools II is a Matlab package of Algebraic Iterative Reconstruction methods for inverse problems.

• IR Tools is a Matlab package of Iterative Regularization methods and test problems for linear inverse problems. The package is a collaborative effort with Silvia Gazzola, University of Bath, and James G. Nagy, Emory University.

• Regularization Tools (Version 4.0 for Matlab 7.3) is a Matlab package for analysis and solution of discrete ill-posed problems. The software and the manual are available, as well as some additional functions that provide new functionality.

• mxTV is a software package for Total Variation image reconstruction. The core software is written in C, and with mex interfact to Matlab.

• TVReg is a software package for 3D tomography using Total Variation regularization. The core software is written in C, and with mex interfact to Matlab.

• ABBA contains files related to the use of AB-GMRES and BA-GMRES as regularizing iterations for CT problems.

• FA18 contains a few Matlab files for the book Computed Tomography: Algorithms, Insight, and Just Enough Theory.

Matlab Software for Rank-Deficient Problems

• UTV Tools is a package of 46 Matlab functions for computing and modifying rank-revealing decompositions, with focus on URV and ULV decompositions.

• UTV Expansion Pack, with extensions and new methods, is also available.

Python Software for Uncertainty Quantification for Inverse Problems

• CUQIpy is a Python package which implements a computational abstraction layer for UQ studies of inverse problems, aimed at non-experts.