chebApprox: Chebyshev Approximation

In pracma: Practical Numerical Math Functions

Chebyshev Approximation

Description

Function approximation through Chebyshev polynomials (of the first kind).

Usage

chebApprox(x, fun, a, b, n)

Arguments

x	Numeric vector of points within interval [a, b].
fun	Function to be approximated.
a, b	Endpoints of the interval.
n	An integer >= 0.

Details

Return approximate y-coordinates of points at x by computing the Chebyshev approximation of degree n for fun on the interval [a, b].

Value

A numeric vector of the same length as x.

Note

TODO: Evaluate the Chebyshev approximative polynomial by using the Clenshaw recurrence formula. (Not yet vectorized, that's why we still use the Horner scheme.)

References

Press, W. H., S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery (1992). Numerical Recipes in C: The Art of Scientific Computing. Second Edition, Cambridge University Press.

See Also

polyApprox

Examples

# Approximate sin(x) on [-pi, pi] with a polynomial of degree 9 !
# This polynomial has to be beaten:
# P(x) = x - 1/6*x^3 + 1/120*x^5 - 1/5040*x^7 + 1/362880*x^9

# Compare these polynomials
p1 <- rev(c(0, 1, 0, -1/6, 0, 1/120, 0, -1/5040, 0, 1/362880))
p2 <- chebCoeff(sin, -pi, pi, 9)

# Estimate the maximal distance
x  <- seq(-pi, pi, length.out = 101)
ys <- sin(x)
yp <- polyval(p1, x)
yc <- chebApprox(x, sin, -pi, pi, 9)
max(abs(ys-yp))                       # 0.006925271
max(abs(ys-yc))                       # 1.151207e-05

## Not run: 
# Plot the corresponding curves
plot(x, ys, type = "l", col = "gray", lwd = 5)
lines(x, yp, col = "navy")
lines(x, yc, col = "red")
grid()
## End(Not run)

pracma documentation built on Nov. 10, 2023, 1:14 a.m.