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GraphOptimizationApplication

class GraphOptimizationApplication(graph)[ソース]

ベースクラス: OptimizationApplication

An abstract class for graph optimization applications.

パラメータ:

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