Compressed Subspace Learning Software

There are four types of routines in this package:
1. Data generation routines: aligned_matrix.m, low_rank_matrix.m
2. Core Algorithms: compressed_sl.m, missing_sl.m, svd_missing.m
3. Simulation code: asymp_exp.m, d_experiment.m, gap_experiment.m, m_experiment.m, r_experiment.m
4. Plotting code: compare_fig.m, conv_fig.m, d_fig.m, gap_fig.m, m_fig.m, r_fig.m

There is also distribution_fig.m -- which plots the distribution of our estimator.