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dual  

Automatic Differentiation with Dual Numbers
View on CRAN: Click here


Download and install dual package within the R console
Install from CRAN:
install.packages("dual")

Install from Github:
library("remotes")
install_github("cran/dual")

Install by package version:
library("remotes")
install_version("dual", "0.0.5")



Attach the package and use:
library("dual")
Maintained by
Luca Sartore
[Scholar Profile | Author Map]
First Published: 2019-12-18
Latest Update: 2022-08-31
Description:
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) .
How to cite:
Luca Sartore (2019). dual: Automatic Differentiation with Dual Numbers. R package version 0.0.5, https://cran.r-project.org/web/packages/dual. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.0.3 (2019-12-18 16:50), 0.0.4 (2022-08-31 23:50)
Other packages that cited dual R package
View dual citation profile
Other R packages that dual depends, imports, suggests or enhances
Complete documentation for dual
Functions, R codes and Examples using the dual R package
Some associated functions: Arithmetic . Error . Hyperbolic . Logic . MathFun . Special . Trig . dual-class . dual-package . log . 
Some associated R codes: 0_dual-class.R . Arithmetic.R . Error.R . Hyperbolic.R . Logic.R . MathFun.R . Special.R . Trig.R . dual-pkg.R . log.R .  Full dual package functions and examples
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