2-D Barycentric Lagrange Interpolation
Two-dimensional barycentric Lagrange interpolation.
barylag2d(F, xn, yn, xf, yf)
F |
matrix representing values of a function in two dimensions. |
xn, yn |
x- and y-coordinates of supporting nodes. |
xf, yf |
x- and y-coordinates of an interpolating grid.. |
Well-known Lagrange interpolation using barycentric coordinates, here extended to two dimensions. The function is completely vectorized.
x-coordinates run downwards in F, y-coordinates to the right. That conforms to the usage in image or contour plots, see the example below.
Matrix of size length(xf)
-by-length(yf)
giving the interpolated
values at al the grid points (xf, yf)
.
Copyright (c) 2004 Greg von Winckel of a Matlab function under BSD license; translation to R by Hans W Borchers with permission.
Berrut, J.-P., and L. Nick Trefethen (2004). “Barycentric Lagrange Interpolation”. SIAM Review, Vol. 46(3), pp.501–517.
## Example from R-help xn <- c(4.05, 4.10, 4.15, 4.20, 4.25, 4.30, 4.35) yn <- c(60.0, 67.5, 75.0, 82.5, 90.0) foo <- matrix(c( -137.8379, -158.8240, -165.4389, -166.4026, -166.2593, -152.1720, -167.3145, -171.1368, -170.9200, -170.4605, -162.2264, -172.5862, -174.1460, -172.9923, -172.2861, -168.7746, -175.2218, -174.9667, -173.0803, -172.1853, -172.4453, -175.7163, -174.0223, -171.5739, -170.5384, -173.7736, -174.4891, -171.6713, -168.8025, -167.6662, -173.2124, -171.8940, -168.2149, -165.0431, -163.8390), nrow = 7, ncol = 5, byrow = TRUE) xf <- c(4.075, 4.1) yf <- c(63.75, 67.25) barylag2d(foo, xn, yn, xf, yf) # -156.7964 -163.1753 # -161.7495 -167.0424 # Find the minimum of the underlying function bar <- function(xy) barylag2d(foo, xn, yn, xy[1], xy[2]) optim(c(4.25, 67.5), bar) # "Nelder-Mead" # $par # 4.230547 68.522747 # $value # -175.7959 ## Not run: # Image and contour plots image(xn, yn, foo) contour(xn, yn, foo, col="white", add = TRUE) xs <- seq(4.05, 4.35, length.out = 51) ys <- seq(60.0, 90.0, length.out = 51) zz <- barylag2d(foo, xn, yn, xs, ys) contour(xs, ys, zz, nlevels = 20, add = TRUE) contour(xs, ys, zz, levels=c(-175, -175.5), add = TRUE) points(4.23, 68.52) ## End(Not run)
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