jacobian {calculus}R Documentation

Numerical and Symbolic Jacobian

Description

Computes the numerical Jacobian of functions or the symbolic Jacobian of characters in arbitrary orthogonal coordinate systems.

Usage

jacobian(
  f,
  var,
  params = list(),
  coordinates = "cartesian",
  accuracy = 4,
  stepsize = NULL
)

f %jacobian% var

Arguments

f

array of characters or a function returning a numeric array.

var

vector giving the variable names with respect to which the derivatives are to be computed and/or the point where the derivatives are to be evaluated. See derivative.

params

list of additional parameters passed to f.

coordinates

coordinate system to use. One of: cartesian, polar, spherical, cylindrical, parabolic, parabolic-cylindrical or a vector of scale factors for each varibale.

accuracy

degree of accuracy for numerical derivatives.

stepsize

finite differences stepsize for numerical derivatives. It is based on the precision of the machine by default.

Details

The function is basically a wrapper for gradient with drop=FALSE.

Value

array.

Functions

References

Guidotti, E. (2020). "calculus: High dimensional numerical and symbolic calculus in R". https://arxiv.org/abs/2101.00086

See Also

Other differential operators: curl(), derivative(), divergence(), gradient(), hessian(), laplacian()

Examples

### symbolic Jacobian 
jacobian("x*y*z", var = c("x", "y", "z"))

### numerical Jacobian in (x=1, y=2, z=3)
f <- function(x, y, z) x*y*z
jacobian(f = f, var = c(x=1, y=2, z=3))

### vectorized interface
f <- function(x) x[1]*x[2]*x[3]
jacobian(f = f, var = c(1, 2, 3))

### symbolic vector-valued functions
f <- c("y*sin(x)", "x*cos(y)")
jacobian(f = f, var = c("x","y"))

### numerical vector-valued functions
f <- function(x) c(sum(x), prod(x))
jacobian(f = f, var = c(0,0,0))

### binary operator
"x*y^2" %jacobian% c(x=1, y=3)


[Package calculus version 0.3.1 Index]