Description Usage Arguments Details Value Author(s) References See Also

Basic building blocks for evaluating functionals *f:R^d -> R* and all their cross-derivatives at a given point *x in R^d*.

1 |

`x` |
(scalar) value at which the function is evaluated. |

`j` |
optional input. See ‘Details’. |

`dim` |
dimension |

If the optional argument `j`

is specfied, then the function *f(x)=x_j* and all its cross-derivatives (all of which but one will be zero, the derivative with respect to the *j*th component being 1) are evaluated with *x_j* being set to the value of `x`

.

If the optional argument `j`

is not used, then the function *f(x) =c* and all its cross-derivatives (all of which will be zero) are evaluated with *c* beting set to the value of `x`

.

From these primitive function evaluations, more complicated functions can be constructed using the operations documented in `CrossSum`

.

`NewCube`

returns an object of `class`

‘ADCube’ according to its inputs. See ‘Details’.

Berwin A. Turlach <berwin.turlach@gmail.com>

Griewank, A., Lehmann, L., Leovey, H. and Zilberman, M. (2014). Automatic evaluations of cross-derivatives, *Mathematics of Computation* **83**(285): 251-274.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.