bluemira.optimisation._scipy.parameters

Classes

NelderMeadParams	Options for Nelder-Mead.
PowellParams	Options for Powell.
LBFGSBParams	Options for L-BFGS-B.
TNCParams	Options for TNC.
COBYLAParams	Options for COBYLA.
COBYQAParams	Options for COBYQA.
SLSQPParams	Options for SLSQP.
TrustConstrParams	Options for Trust-Constr.

Functions

_make_alg_params(→ collections.abc.Mapping[str, ...)

Algorithm parameter factory.

Module Contents

class bluemira.optimisation._scipy.parameters.NelderMeadParams

Options for Nelder-Mead.

maxiter: int | None = None

disp: bool | None = None

maxfev: int | None = None

return_all: bool | None = None

initial_simplex: Any | None = None

xatol: float | None = None

fatol: float | None = None

adaptive: bool | None = None

class bluemira.optimisation._scipy.parameters.PowellParams

Options for Powell.

maxiter: int | None = None

disp: bool | None = None

xtol: float | None = None

ftol: float | None = None

maxfev: int | None = None

direc: Any | None = None

return_all: bool | None = None

class bluemira.optimisation._scipy.parameters.LBFGSBParams

Options for L-BFGS-B.

maxiter: int | None = None

disp: int | None = None

maxcor: int | None = None

ftol: float | None = None

gtol: float | None = None

eps: float | Any | None = None

maxfun: int | None = None

iprint: int | None = None

maxls: int | None = None

finite_diff_rel_step: Any | None = None

workers: int | Any | None = None

class bluemira.optimisation._scipy.parameters.TNCParams

Options for TNC.

maxiter: int | None = None

eps: float | Any | None = None

scale: list[float] | None = None

offset: float | None = None

disp: bool | None = None

maxCGit: int | None = None

eta: float | None = None

stepmx: float | None = None

accuracy: float | None = None

minfev: float | None = None

ftol: float | None = None

xtol: float | None = None

gtol: float | None = None

rescale: float | None = None

finite_diff_rel_step: Any | None = None

maxfun: int | None = None

workers: int | Any | None = None

class bluemira.optimisation._scipy.parameters.COBYLAParams

Options for COBYLA.

maxiter: int | None = None

rhobeg: float | None = None

tol: float | None = None

disp: int | None = None

catol: float | None = None

f_target: float | None = None

class bluemira.optimisation._scipy.parameters.COBYQAParams

Options for COBYQA.

maxiter: int | None = None

disp: bool | None = None

maxfev: int | None = None

f_target: float | None = None

feasibility_tol: float | None = None

initial_tr_radius: float | None = None

final_tr_radius: float | None = None

scale: bool | None = None

class bluemira.optimisation._scipy.parameters.SLSQPParams

Options for SLSQP.

maxiter: int | None = None

ftol: float | None = None

eps: float | None = None

disp: bool | None = None

finite_diff_rel_step: Any | None = None

workers: int | Any | None = None

class bluemira.optimisation._scipy.parameters.TrustConstrParams

Options for Trust-Constr.

maxiter: int | None = None

gtol: float | None = None

xtol: float | None = None

barrier_tol: float | None = None

sparse_jacobian: bool | None = None

initial_tr_radius: float | None = None

initial_constr_penalty: float | None = None

initial_barrier_parameter: float | None = None

initial_barrier_tolerance: float | None = None

factorization_method: str | None = None

finite_diff_rel_step: Any | None = None

verbose: int | None = None

disp: bool | None = None

workers: int | Any | None = None

bluemira.optimisation._scipy.parameters._make_alg_params(user_params: collections.abc.Mapping[str, int | float], param_cls: type, overrides: dict[str, str]) → collections.abc.Mapping[str, int | float]

Algorithm parameter factory.

Returns:

• The dataclass associated with the given algorithm,

• with user parameters merged into the default parameters.

Parameters:

• user_params (collections.abc.Mapping[str, int | float])

• param_cls (type)

• overrides (dict[str, str])

Return type:

collections.abc.Mapping[str, int | float]