Wrapper around a C++ implementation for finding the directed MST (Edmonds-ChuLiu Algorithm)
Details: This code wraps around the maximum/minimum spanning tree implementation provided in: http://edmonds-alg.sourceforge.net/
The wrapper is based off the testcase provided and uses the complete graph with infinite weights and sets the relevant weights of the desired graph to be fininte.
Setup:
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Please download the code from the website and place this directory in the folder.
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Point the LFLAGS and INCLUDES to the system boost installation you want to use
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(Optional) Set the -DDEBUG flag in DEBUG to see output
Usage: ./mstwrapper <input_file> <output_file> <min|max>
Input File Format: N src1,dest1,weight1 src2,dest2,weight2 .. srcE,destE,weightE
N is the number of variables in the graph and there are E edges.
Output File Format: idx1 idx2 .. idxK
The indices correspond to the index (begining at 0) of the edges specified in the input file. In the above example, if idx1==0, then src1->dest1 was in the maximum spanning tree. The tree is rooted at the source corresponding to idx1
Python Interface: directedMST.py provides the interface to access the directed MST functionality through python.
Testcases: tc1.txt,tc2.txt are two small test cases where the optimal spanning tree for the minimum and maximum case is obvious