TransportMaps.Optimization.Optimizers
¶
Module Contents¶
Functions¶
|
Minimization of scalar function of one or more variables using the Newton-LU algorithm. |
|
Minimization of scalar function of one or more variables using the Newton-LU algorithm. |
- TransportMaps.Optimization.Optimizers.minimize_newtonlu(fun, x0, args=(), jac=None, hess=None, hessp=None, callback=None, xtol=1e-05, eps=_epsilon, maxiter=None, disp=False, return_all=False, **unknown_options)[source]¶
Minimization of scalar function of one or more variables using the Newton-LU algorithm.
Note
the jac parameter (Jacobian) is required.
- TransportMaps.Optimization.Optimizers.minimize_newtoncglu(fun, x0, args=(), jac=None, hess=None, hessp=None, callback=None, xtol=1e-05, eps=_epsilon, maxiter=None, disp=False, return_all=False, **unknown_options)[source]¶
Minimization of scalar function of one or more variables using the Newton-LU algorithm.
Note
the jac parameter (Jacobian) is required.