Author: Akshay Krishnamurthy
Email: akshaykr@cs.cmu.edu
Note: Please notify me of any bug fixes or any other comments. 

Algorithms for multisource network tomography.

There are several algorithms here:
1. RISING -- is called cluster_vote.py
2. PearlReconstruct -- is in pearl_reconstruct.py
3. Sequoia -- in sequoia.py
4. DFSOrdering -- in dfs_ordering.py
5. GraphReconstruct -- an algorithm that uses DFSOrdering from each node and then unifies the resulting trees into a graph. 

Requirements:
nose (for testing), numpy, scipy, and apgl.

Datasets are not included, you can find some online and there are some
routines in this code base for parsing them. 