CADETProcess.optimization.OptimizationProblem.objective_jacobian

OptimizationProblem.objective_jacobian(x, ensure_minimization=False, dx=0.001)

Compute jacobian of objective functions using finite differences.

Parameters:

xarray_like

Value of the optimization variables in untransformed space.

dxfloat

Increment to x to use for determining the function gradient.

Returns:

jacobian: np.array

Value of the partial derivatives at point x.

See also

objectives

approximate_jac