ADMMOptimizationResult¶
- class ADMMOptimizationResult(x, fval, variables, state, status)[source]¶
Bases:
OptimizationResult
ADMMOptimization Result.
- Parameters:
x (np.ndarray) – the optimal value found by ADMM.
fval (float) – the optimal function value.
variables (list[Variable]) – the list of variables of the optimization problem.
state (ADMMState) – the internal computation state of ADMM.
status (OptimizationResultStatus) – Termination status of an optimization algorithm
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.
- state¶
returns state
- 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: