https://github.com/cran/pracma
Tip revision: 9683335bbee02d0e5a569a07826d458ca55d5370 authored by HwB on 06 June 2012, 00:00:00 UTC
version 1.1.0
version 1.1.0
Tip revision: 9683335
fderiv.Rd
\name{fderiv}
\alias{fderiv}
\title{
Numerical Differentiation
}
\description{
Numerical function differentiation for orders \code{n=1..4} using
finite difference approximations.
}
\usage{
fderiv(f, x, n = 1, h = 0,
method="central", ...)
}
\arguments{
\item{f}{function to be differentiated.}
\item{x}{point(s) where differentiation will take place.}
\item{n}{order of derivative, can only be between 1 and 4;
for \code{n=0} function values will be returned.}
\item{h}{step size: if \code{h=0} step size will be set automatically.}
\item{method}{one of ``central'', ``forward'', or ``backward''.}
\item{...}{more variables to be passed to function \code{f}.}
}
\details{
Derivatives are computed applying central difference formulas that stem
from the Taylor series approximation. These formulas have a convergence
rate of \eqn{O(h^2)}.
Use the `forward' (right side) or `backward' (left side) method if the
function can only be computed or is only defined on one side. Otherwise,
always use the central difference formulas.
Optimal step sizes depend on the accuracy the function can be computed with.
Assuming internal functions with an accuracy 2.2e-16, appropriate step
sizes might be \code{5e-6, 1e-4, 5e-4, 2.5e-3} for \code{n=1,...,4} and
precisions of about \code{10^-10, 10^-8, 5*10^-7, 5*10^-6} (at best).
}
\value{
Vector of the same length as \code{x}.
}
\references{
Kiusalaas, J. (2005). Numerical Methods in Engineering with Matlab.
Cambridge University Press.
}
\author{
HwB email: <hwborchers@googlemail.com>
}
\note{
Numerical differentiation suffers from the conflict between round-off
and truncation errors.
}
\seealso{
\code{\link{numderiv}}, \code{\link{taylor}}
}
\examples{
\dontrun{
f <- sin
xs <- seq(-pi, pi, length.out = 100)
ys <- f(xs)
y1 <- fderiv(f, xs, n = 1, method = "backward")
y2 <- fderiv(f, xs, n = 2, method = "backward")
y3 <- fderiv(f, xs, n = 3, method = "backward")
y4 <- fderiv(f, xs, n = 4, method = "backward")
plot(xs, ys, type = "l", col = "gray", lwd = 2,
xlab = "", ylab = "", main = "Sinus and its Derivatives")
lines(xs, y1, col=1, lty=2)
lines(xs, y2, col=2, lty=3)
lines(xs, y3, col=3, lty=4)
lines(xs, y4, col=4, lty=5)
grid()}
}
\keyword{ math }