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dfdr (version 0.2.0)

Automatic Differentiation of Simple Functions

Description

Implementation of automatically computing derivatives of functions (see Mailund Thomas (2017) ). Moreover, calculating gradients, Hessian and Jacobian matrices is possible.

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Version

Install

install.packages('dfdr')

Monthly Downloads

69

Version

0.2.0

License

GPL-3

Maintainer

Krc3<a4>mer Konrad

Last Published

February 23rd, 2023

Functions in dfdr (0.2.0)

simplify

Simplify an expression by computing the values for constant expressions
hessian

Compute the Hessian-function of a function.
fcts

S4 class fcts
d

Differentiate a function for a single variable.
fcts_add_fct

appending a S4 class of type fcts
gradient

Compute the gradient-function of a function.
jacobian

jacobian function