Product Gauss Cubature over Polygonal Domains
Product Gauss cubature over polygons as proposed by Sommariva and Vianello (2007).
polyCub.SV(polyregion, f, ..., nGQ = 20, alpha = NULL, rotation = FALSE, engine = "C", plot = FALSE)
| polyregion | a polygonal domain.
The following classes are supported:
 | 
| f | a two-dimensional real-valued function to be integrated over
 | 
| ... | further arguments for  | 
| nGQ | degree of the one-dimensional Gauss-Legendre quadrature rule
(default: 20) as implemented in function  | 
| alpha | base-line of the (rotated) polygon at x = α (see
Sommariva and Vianello (2007) for an explication). If  | 
| rotation | logical (default:  | 
| engine | character string specifying the implementation to use.
Up to polyCub version 0.4-3, the two-dimensional nodes and weights
were computed by R functions and these are still available by setting
 | 
| plot | logical indicating if an illustrative plot of the numerical integration should be produced. | 
The approximated value of the integral of f over
polyregion.
In the case f = NULL, only the computed nodes and weights are
returned in a list of length the number of polygons of polyregion,
where each component is a list with nodes (a numeric matrix with
two columns), weights (a numeric vector of length
nrow(nodes)), the rotation angle, and alpha.
Sebastian Meyer
These R and C implementations of product Gauss cubature are based on the
original MATLAB implementation polygauss by Sommariva and
Vianello (2007), which is available under the GNU GPL (>=2) license from
https://www.math.unipd.it/~alvise/software.html.
Sommariva, A. and Vianello, M. (2007): Product Gauss cubature over polygons based on Green's integration formula. BIT Numerical Mathematics, 47 (2), 441-453. doi: 10.1007/s10543-007-0131-2
Other polyCub-methods: 
polyCub.exact.Gauss(),
polyCub.iso(),
polyCub.midpoint(),
polyCub()
## a function to integrate (here: isotropic zero-mean Gaussian density)
f <- function (s, sigma = 5)
    exp(-rowSums(s^2)/2/sigma^2) / (2*pi*sigma^2)
## a simple polygon as integration domain
hexagon <- list(
    list(x = c(7.33, 7.33, 3, -1.33, -1.33, 3),
         y = c(-0.5, 4.5, 7, 4.5, -0.5, -3))
)
## image of the function and integration domain
plotpolyf(hexagon, f)
## use a degree of nGQ = 3 and show the corresponding nodes
polyCub.SV(hexagon, f, nGQ = 3, plot = TRUE)
## extract nodes and weights
nw <- polyCub.SV(hexagon, f = NULL, nGQ = 3)[[1]]
nrow(nw$nodes)
## manually apply the cubature rule
sum(nw$weights * f(nw$nodes))
## use an increasing number of nodes
for (nGQ in c(1:5, 10, 20, 60))
    cat(sprintf("nGQ = %2i: %.16f\n", nGQ,
                polyCub.SV(hexagon, f, nGQ = nGQ)))
## polyCub.SV() is the default method used by the polyCub() wrapper
polyCub(hexagon, f, nGQ = 3)  # calls polyCub.SV()
### now using a simple *rectangular* integration domain
rectangle <- list(list(x = c(-1, 7, 7, -1), y = c(-3, -3, 7, 7)))
polyCub.SV(rectangle, f, plot = TRUE)
## effect of rotation given a very low nGQ
opar <- par(mfrow = c(1,3))
polyCub.SV(rectangle, f, nGQ = 4, rotation = FALSE, plot = TRUE)
           title(main = "without rotation (default)")
polyCub.SV(rectangle, f, nGQ = 4, rotation = TRUE,  plot = TRUE)
           title(main = "standard rotation")
polyCub.SV(rectangle, f, nGQ = 4,
           rotation = list(P = c(0,0), Q = c(2,-3)), plot = TRUE)
           title(main = "custom rotation")
par(opar)
## comparison with the "cubature" package
if (requireNamespace("cubature")) {
    fc <- function (s, sigma = 5)  # non-vectorized version of f
        exp(-sum(s^2)/2/sigma^2) / (2*pi*sigma^2)
    cubature::hcubature(fc, lowerLimit = c(-1, -3), upperLimit = c(7, 7))
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