SlsqpOptimizationResult¶

class SlsqpOptimizationResult(x, fval, variables, status, fx=None, its=None, imode=None, smode=None)[source]¶

SLSQP optimization result, defines additional properties that may be returned by the optimizer.

Constructs a result object with properties specific to SLSQP.

Parameters:

x (list[float] | np.ndarray) – The solution of the problem
fval (float) – The value of the objective function of the solution
variables (list[Variable]) – A list of variables defined in the problem
fx (np.ndarray | None) – The value of the objective function being optimized, may be different from fval
its (int | None) – The number of iterations.
imode (int | None) – The exit mode from the optimizer (see the documentation of scipy.optimize.fmin_slsqp).
smode (str | None) – Message describing the exit mode from the optimizer.
status (OptimizationResultStatus) – the termination status of the optimization algorithm.

Attributes

fval¶

Returns the objective function value.

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

fx¶: Returns the final value of the objective function being actually optimized.

raw_results¶

Return the original results object from the optimization algorithm.

Currently a dump for any leftovers.

samples¶

Returns the list of solution samples

status¶

Returns the termination status of the optimization algorithm.

variable_names¶

Returns the list of variable names of the optimization problem.

variables¶

Returns the list of variables of the optimization problem.

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.

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

Methods

get_correlations()¶

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

prettyprint()¶

Returns a pretty printed string of this optimization result.