- Arith
signature(e1 = "mpfr", e2 = "mpfrArray"): ...
- Arith
signature(e1 = "numeric", e2 = "mpfrArray"): ...
- Arith
signature(e1 = "mpfrArray", e2 = "mpfrArray"): ...
- Arith
signature(e1 = "mpfrArray", e2 = "mpfr"): ...
- Arith
signature(e1 = "mpfrArray", e2 = "numeric"): ...
- as.vector
signature(x = "mpfrArray", mode =
"missing"): drops the dimension ‘attribute’, i.e.,
transforms x into a simple mpfr
vector. This is an inverse of t(.) or dim(.) <- *
on such a vector.
- atan2
signature(y = "ANY", x = "mpfrArray"): ...
- atan2
signature(y = "mpfrArray", x = "mpfrArray"): ...
- atan2
signature(y = "mpfrArray", x = "ANY"): ...
- [<-
signature(x = "mpfrArray", i = "ANY", j = "ANY", value = "ANY"): ...
- [
signature(x = "mpfrArray", i = "ANY", j = "ANY", drop = "ANY"): ...
- [
signature(x = "mpfrArray", i = "ANY", j = "missing", drop = "missing"):
"mpfrArray"s can be subset (“indexed”) as regular R
arrays.
- %*%
signature(x = "mpfr", y = "mpfrMatrix"): Compute
the matrix/vector product \(x y\) when the dimensions
(dim) of x and y match. If x
is not a matrix, it is treated as a 1-row or 1-column matrix (aka
“row vector” or “column vector”) depending on which
one makes sense, see the documentation of the base
function %*%.
- %*%
signature(x = "mpfr", y = "Mnumber"): method
definition for cases with one mpfr and any
“number-like” argument are to use MPFR arithmetic as well.
- %*%
signature(x = "mpfrMatrix", y = "mpfrMatrix"),
- %*%
signature(x = "mpfrMatrix", y = "mpfr"), etc.
Further method definitions with identical semantic.
- crossprod
signature(x = "mpfr", y = "missing"):
Computes \(x'x\), i.e., t(x) %*% x, typically more efficiently.
- crossprod
signature(x = "mpfr", y = "mpfrMatrix"):
Computes \(x'y\), i.e., t(x) %*% y, typically more efficiently.
- crossprod
signature(x = "mpfrMatrix", y = "mpfrMatrix"): ...
- crossprod
signature(x = "mpfrMatrix", y = "mpfr"): ...
- tcrossprod
signature(x = "mpfr", y = "missing"):
Computes \(xx'\), i.e., x %*% t(x), typically more efficiently.
- tcrossprod
signature(x = "mpfrMatrix", y = "mpfrMatrix"):
Computes \(xy'\), i.e., x %*% t(y), typically more efficiently.
- tcrossprod
signature(x = "mpfrMatrix", y = "mpfr"): ...
- tcrossprod
signature(x = "mpfr", y = "mpfrMatrix"): ...
- coerce
signature(from = "mpfrArray", to = "array"):
coerces from to a numeric array of the same dimension.
- coerce
signature(from = "mpfrArray", to = "vector"):
as for standard arrays, this “drops” the
dim (and dimnames), i.e., returns an
mpfr vector.
- Compare
signature(e1 = "mpfr", e2 = "mpfrArray"): ...
- Compare
signature(e1 = "numeric", e2 = "mpfrArray"): ...
- Compare
signature(e1 = "mpfrArray", e2 = "mpfr"): ...
- Compare
signature(e1 = "mpfrArray", e2 = "numeric"): ...
- dim
signature(x = "mpfrArray"): ...
- dimnames<-
signature(x = "mpfrArray"): ...
- dimnames
signature(x = "mpfrArray"): ...
- show
signature(object = "mpfrArray"): ...
- sign
signature(x = "mpfrArray"): ...
- norm
signature(x = "mpfrMatrix", type = "character"):
computes the matrix norm of x, see norm
or the one in package Matrix.
- t
signature(x = "mpfrMatrix"): tranpose the mpfrMatrix.
- aperm
signature(a = "mpfrArray"): aperm(a,
perm) is a generalization of t(.) to permute the
dimensions of an mpfrArray; it has the same semantics as the
standard aperm() method for simple R arrays.