Nothing
##' @useDynLib vertexenum
##' @export
enumerate.vertices <- function(A, b, warn_if_open=FALSE) {
APPROXIMATION = 10000;
## Given a linear system Ax <= b, return the vertices
## of the system
## If the matrix or vector contains real numbers, we need to approximate
## them with rationals!
## Now build the input file for lrs
m <- dim(A)[1]
n <- dim(A)[2]
if (m < 2) {
print("Matrix must have at least 2 row")
return(NA)
}
if (n < 2) {
print("Matrix must have at least 2 cols")
return(NA)
}
A_num <- matrix(, nrow=m, ncol=n)
A_den <- matrix(, nrow=m, ncol=n)
b_num <- vector(mode="integer", length=m)
b_den <- vector(mode="integer", length=m)
for (i in 1:m) {
## First approximate b
cur = numbers::ratFarey(b[i], APPROXIMATION, upper=FALSE)
b_num[i] = cur[1]
b_den[i] = cur[2]
## Now approximate A
for (j in 1:n) {
cur = numbers::ratFarey(A[i,j], APPROXIMATION, upper=FALSE)
A_num[i,j] = -cur[1]
A_den[i,j] = cur[2]
}
}
## print(A_num)
## print(A_den)
## print(b_num)
## print(b_den)
## call the external function
output <- .Call("vertexenum", as.integer(A_num), as.integer(A_den), as.integer(b_num), as.integer(b_den), dim(A))
## prune out extreme rays, if they exist
if (!is.na(match(0, output[,1])) && warn_if_open) {
print("Input system contains an extreme ray.")
}
output <- output[output[,1] != 0,]
if (is.null(dim(output))) {
return(output[2:(n+1)])
} else {
return(output[,2:(n+1)])
}
}
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