GraphOptimizationApplication

class GraphOptimizationApplication(graph)

Bases: OptimizationApplication

An abstract class for graph optimization applications.

Parameters:

graph (Graph | ndarray | List) – A graph representing a problem. It can be specified directly as a NetworkX graph, or as an array or list format suitable to build out a NetworkX graph.

Attributes

graph

Getter of the graph

Methods

draw([result, pos])	Draw a graph with the result.
interpret(result)	Convert the calculation result of the problem (OptimizationResult or a binary array using np.ndarray) to the answer of the problem in an easy-to-understand format.
random_graph(num_nodes, num_edges[, seed])	param num_nodes: The number of nodes in a graph
sample_most_likely(state_vector)	Compute the most likely binary string from state vector.
to_quadratic_program()	Convert a problem instance into a QuadraticProgram