Automatic differentiation is achieved by using dual numbers without providing hand-coded gradient functions. The output value of a mathematical function is returned with the values of its exact first derivative (or gradient). For more details see Baydin, Pearlmutter, Radul, and Siskind (2018) <http://jmlr.org/papers/volume18/17-468/17-468.pdf>.
|Author||Luca Sartore [aut, cre] (<https://orcid.org/0000-0002-0446-1328>)|
|Maintainer||Luca Sartore <firstname.lastname@example.org>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.