taylor: Taylor Series Expansion

In eguidotti/calculus: High Dimensional Numerical and Symbolic Calculus

Taylor Series Expansion

Description

Computes the Taylor series of functions or characters.

Usage

taylor(
  f,
  var,
  params = list(),
  order = 1,
  accuracy = 4,
  stepsize = NULL,
  zero = 1e-07
)

Arguments

f	character, or function returning a numeric scalar value.
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 (the center of the Taylor series). See derivative.
params	list of additional parameters passed to f.
order	the order of the Taylor approximation.
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.
zero	tolerance used for deciding which derivatives are zero. Absolute values less than this number are set to zero.

Value

list with components:

f

the Taylor series.

order

the approximation order.

terms

data.frame containing the variables, coefficients and degrees of each term in the Taylor series.

References

Guidotti E (2022). "calculus: High-Dimensional Numerical and Symbolic Calculus in R." Journal of Statistical Software, 104(5), 1-37. doi: 10.18637/jss.v104.i05

See Also

Other polynomials: hermite()

Other derivatives: derivative()

Examples

### univariate taylor series (in x=0)
taylor("exp(x)", var = "x", order = 2)

### univariate taylor series of user-defined functions (in x=0)
f <- function(x) exp(x)
taylor(f = f, var = c(x=0), order = 2)

### multivariate taylor series (in x=0 and y=1)
taylor("x*(y-1)", var = c(x=0, y=1), order = 4)

### multivariate taylor series of user-defined functions (in x=0 and y=1)
f <- function(x,y) x*(y-1)
taylor(f, var = c(x=0, y=1), order = 4)

### vectorized interface
f <- function(x) prod(x)
taylor(f, var = c(0,0,0), order = 3)

eguidotti/calculus documentation built on March 17, 2023, 5:18 a.m.