The hm-toolbox is a toolbox implementing the arithmetic of HODLR and HSS matrices in MATLAB.
The HODLR case is handled in the @hodlr class, and correspond to H-matrices with partitioning recursively done in 2 x 2 blocks, where the off-diagonal blocks are of low-rank. The HSS arithmetic uses the same partitioning (with nested bases), and is available through the @hss class.
Routines to compute matrix functions [1] and to solve matrix equations are included [1,2].
To install the toolbox download the latest revision from Github by running
git clone https://github.com/numpi/hm-toolbox.git
or downloading the ZIP file from the webpage github.com/numpi/hm-toolbox.
Rename the folder to hm-toolbox if needed. Then, add it to your MATLAB path by running
>> addpath /path/to/hm-toolboxYou are now ready to create new @hodlr and @hss objects. Check some examples in the
examples/ folder.
The toolbox is compatible with GNU Octave >= 4.4. The easiest way to get a recent version of Octave on Linux is to enable Flatpak following the instructions here, and then run the command
flatpak install flathub org.octave.Octave
You can then run Octave from the menu or by typing flatpak run org.octave.Octave in a terminal.
Some functions require dependencies found in additional packages, namely octave-control
(for the solvers of Lyapunov and Sylvester equations) and octave-statistics (for
the ACA code that is used inside the HODLR handle constructor).
- Massei, S., Palitta, D., & Robol, L. (2018). Solving Rank-Structured Sylvester and Lyapunov Equations. SIAM Journal on Matrix Analysis and Applications, 39(4), 1564-1590.
- Kressner, D., Massei, S., & Robol, L. (2019). Low-rank updates and a divide-and-conquer method for linear matrix equations. SIAM Journal on Scientific Computing 41 (2), A848-A876.
- Massei, S., Robol, L., & Kressner, D. (2020). hm-toolbox: MATLAB Software for HODLR and HSS Matrices. SIAM Journal on Scientific Computing, 42(2), C43-C68.