hessian: Compute the Hessian-function of a function.
In mailund/dfdr: Automatic Differentiation of Simple Functions
hessian R Documentation
Compute the Hessian-function of a function.
Description
Creates a function that computes the second-order derivatives of a function with respect to each pair of parameters
and return a vector of these.
Usage
hessian(f, use_names = FALSE, ...)
Arguments
f
A function
use_names
Should the gradient add variable names to the output of the function?
...
The variable names for which gradients should be calculated
Value
A function that computes the gradient of f at any point.
Examples
f <- function(x, y) x**2 + y**2
h <- hessian(f, FALSE, x, y)
h(0, 0)
mailund/dfdr documentation built on Feb. 25, 2023, 5:37 p.m.
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| hessian | R Documentation |
Compute the Hessian-function of a function.
Description
Creates a function that computes the second-order derivatives of a function with respect to each pair of parameters and return a vector of these.
Usage
hessian(f, use_names = FALSE, ...)
Arguments
f |
A function |
use_names |
Should the gradient add variable names to the output of the function? |
... |
The variable names for which gradients should be calculated |
Value
A function that computes the gradient of f at any point.
Examples
f <- function(x, y) x**2 + y**2 h <- hessian(f, FALSE, x, y) h(0, 0)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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