optiprofiler.FeaturedProblem.cub

FeaturedProblem.cub(x, record_hist=True)

Evaluate the nonlinear constraints cub(x) <= 0.

Parameters:

xarray_like, shape (n,)

Point at which to evaluate the nonlinear inequality constraints.

Returns:

numpy.ndarray, shape (m_nonlinear_ub,)

Values of the nonlinear inequality constraints at x if maximum number of evaluations has not been reached, otherwise returns the last evaluated nonlinear inequality constraints.

Raises:

ValueError

If the argument x has an invalid shape or if the return value of the argument cub has an invalid shape.

StopIteration

If the number of the nonlinear inequality constraint evaluations has reached two times the maximum function evaluations.