RRAM

A MATLAB solver for low-rank matrix completion based on a Riemannian Rank-Adaptive Method

How to run

1. Run startup.m and Install_mex.m first.

run startup.m
run Install_mex.m

2. Demo scripts are listed in ./Examples including

• test_fixed_rank.m
• test_rank_increase.m
• test_rank_reduction.m

References

Bin Gao P.-A. Absil

• A Riemannian rank-adaptive method for low-rank matrix completion

Authors

• Bin Gao (UCLouvain, Belgium)

Copyright

Copyright (C) 2021, Bin Gao, P.-A. Absil

This package is based on a third-party public code. That copyright is reserved by Bart Vandereycken.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/