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# CG¶

class CG(maxiter=20, disp=False, gtol=1e-05, tol=None, eps=1.4901161193847656e-08, options=None, max_evals_grouped=1, **kwargs)[código fonte]

Bases: `SciPyOptimizer`

CG is an algorithm for the numerical solution of systems of linear equations whose matrices are symmetric and positive-definite. It is an iterative algorithm in that it uses an initial guess to generate a sequence of improving approximate solutions for a problem, in which each approximation is derived from the previous ones. It is often used to solve unconstrained optimization problems, such as energy minimization.

Uses scipy.optimize.minimize CG. For further detail, please refer to https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize.html

Parâmetros
• maxiter (int) – Maximum number of iterations to perform.

• disp (bool) – Set to True to print convergence messages.

• gtol (float) – Gradient norm must be less than gtol before successful termination.

• tol (float | None) – Tolerance for termination.

• eps (float) – If jac is approximated, use this value for the step size.

• options (dict | None) – A dictionary of solver options.

• max_evals_grouped (int) – Max number of default gradient evaluations performed simultaneously.

• kwargs – additional kwargs for scipy.optimize.minimize.

Methods

 `get_support_level` Return support level dictionary `gradient_num_diff` We compute the gradient with the numeric differentiation in the parallel way, around the point x_center. `minimize` Minimize the scalar function. `print_options` Print algorithm-specific options. `set_max_evals_grouped` Set max evals grouped `set_options` Sets or updates values in the options dictionary. `wrap_function` Wrap the function to implicitly inject the args at the call of the function.

Attributes

bounds_support_level

Returns bounds support level

initial_point_support_level

Returns initial point support level

is_bounds_ignored

Returns is bounds ignored

is_bounds_required

Returns is bounds required

is_bounds_supported

Returns is bounds supported

is_initial_point_ignored

Returns is initial point ignored

is_initial_point_required

Returns is initial point required

is_initial_point_supported

Returns is initial point supported

setting

Return setting

settings