- EMDA.m implements the the Entropic Mirror Descent Algorithm of "Mirror descent and nonlinear projected 
  subgradient methods for convex optimization" by A. Beck and M. Teboulle.
- EMDA_experiments.mlx provides some example usage of EMDA.m and demonstrates
  its performance on various datasets.
