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.

প্যারামিটার:

x (List[float] | 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 (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.

রিটার্নস:: 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.

রিটার্নস:: 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.