jacobian0: Numerical Jacobian Matrix
In fntl: Numerical Tools for 'Rcpp' and Lambda Functions
jacobian0 R Documentation
Numerical Jacobian Matrix
Description
Numerical Jacobian Matrix
Usage
jacobian0(f, x, args)
Arguments
f
Function to differentiate.
x
Vector at which to evaluate the Jacobian.
args
List of additional arguments from the function richardson_args.
Value
A list with the form of a jacobian_result described in section "Jacobian"
of the package vignette.
Examples
f = function(x) { cumsum(sin(x)) }
x0 = seq(1, 10, length.out = 5)
args = richardson_args()
out = jacobian0(f, x0, args)
print(out$value)
numDeriv::jacobian(f, x0)
fntl documentation built on April 4, 2025, 1:53 a.m.
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| jacobian0 | R Documentation |
Numerical Jacobian Matrix
Description
Numerical Jacobian Matrix
Usage
jacobian0(f, x, args)
Arguments
f |
Function to differentiate. |
x |
Vector at which to evaluate the Jacobian. |
args |
List of additional arguments from the function |
Value
A list with the form of a jacobian_result described in section "Jacobian"
of the package vignette.
Examples
f = function(x) { cumsum(sin(x)) }
x0 = seq(1, 10, length.out = 5)
args = richardson_args()
out = jacobian0(f, x0, args)
print(out$value)
numDeriv::jacobian(f, x0)
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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