GoemansWilliamsonOptimizationResult¶

class GoemansWilliamsonOptimizationResult(x, fval, variables, status, samples, sdp_solution=None)[source]¶

Bases: OptimizationResult

Contains results of the Goemans-Williamson algorithm. The properties x and fval contain values of just one solution. Explore samples for all possible solutions.

Parameters:

x (list[float] | np.ndarray | None) – the optimal value found in the optimization.
fval (float) – the optimal function value.
variables (list[Variable]) – the list of variables of the optimization problem.
status (OptimizationResultStatus) – the termination status of the optimization algorithm.
samples (list[SolutionSample] | None) – the solution samples.
sdp_solution (np.ndarray | None) – an SDP solution of the problem.

Attributes

fval¶

Returns the objective function value.

Returns:: The function value corresponding to the objective function value found in the optimization.

raw_results¶

Return the original results object from the optimization algorithm.

Currently a dump for any leftovers.

Returns:: Additional result information of the optimization algorithm.

samples¶

Returns the list of solution samples

Returns:: The list of solution samples.

sdp_solution¶: Returns: Returns an SDP solution of the problem.

status¶

Returns the termination status of the optimization algorithm.

Returns:: The termination status of the algorithm.

variable_names¶

Returns the list of variable names of the optimization problem.

Returns:: The list of variable names of the optimization problem.

variables¶

Returns the list of variables of the optimization problem.

Returns:: The list of variables.

variables_dict¶

Returns the variable values as a dictionary of the variable name and corresponding value.

Returns:: The variable values as a dictionary of the variable name and corresponding value.

x¶

Returns the variable values found in the optimization or None in case of FAILURE.

Returns:: The variable values found in the optimization.

Methods

get_correlations()¶

Get <Zi x Zj> correlation matrix from the samples.

Returns:: A correlation matrix.
Return type:: ndarray

prettyprint()¶

Returns a pretty printed string of this optimization result.

Returns:: A pretty printed string representing the result.
Return type:: str