This guide can help you start working with GrinPy. We assume basic knowledge of NetworkX. For more information on how to use NetworkX, see the NetworkX Documentation.
Calculating the Independence Number¶
For this example we will create a cycle of order 5.
>>> import grinpy as gp >>> G = gp.cycle_graph(5)
In order to compute the independence number of the cycle, we simply call the
independence_number() function on the graph:
>>> gp.independence_number(G) 2
It’s that simple!
In this release (version latest), all methods are defined only for simple graphs. In future releases, we will expand to digraphs and multigraphs.
Get a Maximum Independent Set¶
If we are interested in finding a maximum independent set in the graph:
>>> gp.max_independent_set(G) [0, 2]
Determine if a Given Set is Independent¶
We may check whether or not a given set is independent:
>>> gp.is_independent_set(G, [0, 1]) False >>> gp.is_independent_set(G, [1, 3]) True
The vast majority of NP-hard invariants will include three methods corresponding to the above examples. That is, for each invariant, there will be three methods:
Calculate the invariant
Get a set of nodes realizing the invariant
Determine whether or not a given set of nodes meets some necessary condition for the invariant.