This repository is part of a group project at Technische Universität Berlin for the course Julia Programming for Machine Learning during the winter semester 2024 / 25.
Note
This package is part of a student project at Technische Universität Berlin only and will not be actively maintained.
A Julia package for Approximate Joint Diagonalization (AJD) of matrices is provided. The algorithms JDiag and FFDiag are implemented. Orthogonal and non-orthogonal AJD is supported.
The documentation includes a brief Getting Started guide and further information on the package.