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You should not usually need to use these functions directly or pass them as arguments. They should be chosen and used by optimizer functions, possibly subject to their configuration options.
| • dfpdp: | Direct user interface to default numerical gradient method of new frontends. | |
| • deriv: | Higher order numerical derivatives. | |
| • numgradient: | Another numerical gradient function. | |
| • numhessian: | Numerical Hessian function. | |
| • cdiff: | A string, yielding the numerical gradient if evaluated. | |
| • jacobs: | Complex step derivatives. |