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dual: Automatic Differentiation with Dual Numbers
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) <https://jmlr.org/papers/volume18/17-468/17-468.pdf>.
Getting started
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Package details |
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| Author | Luca Sartore [aut, cre] (<https://orcid.org/0000-0002-0446-1328>) |
| Maintainer | Luca Sartore <drwolf85@gmail.com> |
| License | GPL-3 |
| Version | 0.0.5 |
| Package repository | View on CRAN |
| Installation |
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