This is a simple python wrapper around https://github.com/TCS-Meiji/PACE2017-TrackA# (meiji treewidth solver from PACE 2017), based on jpype. The original implementation of the solver is in java. The algorithm is described in https://arxiv.org/abs/1704.05286.
Installation instructions
pip install pymeiji
Usage
def meiji_solver(edge_list):
"""
Exact computation of the treewidth of a graph.
Python-wrapper around the PACE 2017 meiji solver,
which was originally written in java,
and whose details are described in
https://arxiv.org/abs/1704.05286
Parameters
----------
edge_list: list of tuples of integers
list of edges of the graph. Each edge must
be a tuple of 2 integers (u,v).
The integers should range from 0 to
the number of vertices in the graph - 1.
Returns
-------
(treewidth, bags, bag_adj)
A tuple consisting of three objects. The first is an integer equal
to the treewidth. The second is a python dictionary associating
integers (bag index) to lists of integers (bag content). The
third is also a dictionary, associating integers (bag index)
to lists of integers (indices of the neighbors of that bag
in the tree decomposition).
"""
>>> from pymeiji import meiji_solver
>>> meiji_solver([(0,1),(1,2),(2,3),(0,3)])
(2, {1: [0, 1, 3], 2: [1, 2, 3]}, {1: [2], 2: [1]})
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