chebeval: Evaluate a Chebyshev interpolation in a point
In sgaure/chebpol: Multivariate Interpolation

Description Usage Arguments Value Examples

Given Chebyshev coefficients, evaluate the interpolation in a point.

1 2	chebeval(x, coef, intervals = NULL, threads = getOption("chebpol.threads"))

`x`	The point to evaluate.
`coef`	The Chebyshev coefficients. Typically from a call to `chebcoef`, possibly modified.
`intervals`	A list of minimum and maximum values. One for each dimension of the hypercube.
`threads`	And integer. In case `x` is a matrix of column vectors, use this number of threads in parallel to evaluate.

A numeric. The interpolated value.

# make a function which is known to be unsuitable for Chebyshev approximation
f <- function(x) sign(x)
# make a standard Chebyshev interpolation
ch <- ipol(f,dims=50,method='chebyshev')
# then do a truncated interpolation
val <- evalongrid(f,50)
coef <- chebcoef(val)
# truncate the high frequencies
coef[-(1:10)] <- 0
# make a truncated approximation
tch <- Vectorize(function(x) chebeval(x,coef))
# make a lower degree also
ch2 <- ipol(f,dims=10,method='chebyshev')
# plot the functions
## Not run: 
s <- seq(-1,1,length.out=400)
plot(s,ch(s),col='red',type='l')
lines(s,tch(s),col='blue')
lines(s,f(s))
lines(s,ch2(s),col='green')

## End(Not run)