A toolbox, survey, test problem collection, and much more aimed at addressing goals outlined by the 2023 f(A)bulous Workshop.  Currently under development.

Associated publications:

A MATLAB toolbox for computing the Fréchet derivative of the tensor t-function.  Third-order tensors are encoded as structs, with fields storing the dimensions and the unfolded tensor configuration.  As opposed to built-in multidimensional arrays in MATLAB, our "tensor structs" allow for sparse storage and operations.  The syntax is built off LowSyncBlockArnoldi and bfomfom and allows for general matrix-function solver configurations, e.g., choice of underlying inner product, norm, (block) Arnoldi implementation, etc.

Associated publications:

Magdeburg, DE, 2022
Versailles, FR, 2009

Written in MATLAB and used in my thesis and the following papers:

The package comprises implementations of the classical, global, loop-interchange, and hybrid BFOM and B(FOM)^2, written in a modular fashion so that users can easily switch between choices of block inner products and scaling quotients.  It also contains thorough documentation and the scripts to generate the examples in the papers.  All data matrices have been moved to Zenodo, and the code contains scripts to download them automatically.