ADMMOptimizationResult#

class ADMMOptimizationResult(x, fval, variables, state, status)[fuente]#

Bases: OptimizationResult

ADMMOptimization Result.

Parámetros:

  • x (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.

Devuelve:

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.

Devuelve:

Additional result information of the optimization algorithm.

samples#

Returns the list of solution samples

Devuelve:

The list of solution samples.

state#

returns state

status#

Returns the termination status of the optimization algorithm.

Devuelve:

The termination status of the algorithm.

variable_names#

Returns the list of variable names of the optimization problem.

Devuelve:

The list of variable names of the optimization problem.

variables#

Returns the list of variables of the optimization problem.

Devuelve:

The list of variables.

variables_dict#

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

Devuelve:

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.

Devuelve:

The variable values found in the optimization.

Methods

get_correlations()#

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

Devuelve:

A correlation matrix.

Tipo del valor devuelto:

ndarray

prettyprint()#

Returns a pretty printed string of this optimization result.

Devuelve:

A pretty printed string representing the result.

Tipo del valor devuelto:

str