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- """Approximations of graph properties and Heuristic methods for optimization.
- The functions in this class are not imported into the top-level ``networkx``
- namespace so the easiest way to use them is with::
- >>> from networkx.algorithms import approximation
- Another option is to import the specific function with
- ``from networkx.algorithms.approximation import function_name``.
- """
- from networkx.algorithms.approximation.clustering_coefficient import *
- from networkx.algorithms.approximation.clique import *
- from networkx.algorithms.approximation.connectivity import *
- from networkx.algorithms.approximation.distance_measures import *
- from networkx.algorithms.approximation.dominating_set import *
- from networkx.algorithms.approximation.kcomponents import *
- from networkx.algorithms.approximation.matching import *
- from networkx.algorithms.approximation.ramsey import *
- from networkx.algorithms.approximation.steinertree import *
- from networkx.algorithms.approximation.traveling_salesman import *
- from networkx.algorithms.approximation.treewidth import *
- from networkx.algorithms.approximation.vertex_cover import *
- from networkx.algorithms.approximation.maxcut import *
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