Python UtilsToInvariants.LargestEigen Examples

Example #1

 def calculate(graph):
     if nx.is_connected(graph):
         return Utils.LargestEigen(
             inv_other.SignlessLaplacianMatrix.calculate(graph))
     else:
         return 10**10

Example #2

 def calculate(graph):
     if nx.number_of_nodes(graph) > 1:
         return Utils.LargestEigen(
             inv_other.AdjacencyMatrix.calculate(graph))
     else:
         return 0

Example #3

 def calculate(graph):
     if nx.is_connected(graph):
         return Utils.LargestEigen(
             inv_other.DistanceMatrix.calculate(graph))
     else:
         return 10**10

Example #4

 def calculate(graph):
     return Utils.LargestEigen(inv_other.SeidelMatrix.calculate(graph))

Example #5

 def calculate(graph):
     return Utils.LargestEigen(
         inv_other.NormalizedLaplacianMatrix.calculate(graph))

Example #6

 def calculate(graph):
     return Utils.LargestEigen(
         inv_other.SignlessLaplacianMatrix.calculate(graph))

Example #7

 def calculate(graph):
     return Utils.LargestEigen(inv_other.AdjacencyMatrix.calculate(graph))