matmultmethods  R Documentation 
The basic matrix product, %*%
is implemented for all our
Matrix
and also for
sparseVector
classes, fully analogously to R's
base matrix
and vector objects.
The functions crossprod
and tcrossprod
are
matrix products or “cross products”, ideally implemented
efficiently without computing t(.)
's unnecessarily.
They also return symmetricMatrix
classed
matrices when easily detectable, e.g., in crossprod(m)
, the one
argument case.
tcrossprod()
takes the crossproduct of the transpose of a matrix.
tcrossprod(x)
is formally equivalent to, but faster than, the
call x %*% t(x)
, and so is tcrossprod(x, y)
instead of
x %*% t(y)
.
Boolean matrix products are computed via either
%&%
or boolArith = TRUE
.
## S4 method for signature 'CsparseMatrix,diagonalMatrix'
x %*% y
## S4 method for signature 'CsparseMatrix,diagonalMatrix'
crossprod(x, y = NULL, boolArith = NA, ...)
## .... and for many more signatures
## S4 method for signature 'TsparseMatrix,missing'
tcrossprod(x, y = NULL, boolArith = NA, ...)
## .... and for many more signatures
x 
a matrixlike object 
y 
a matrixlike object, or for 
boolArith 

... 
potentially more arguments passed to and from methods. 
For some classes in the Matrix
package, such as
dgCMatrix
, it is much faster to calculate the
crossproduct of the transpose directly instead of calculating the
transpose first and then its crossproduct.
boolArith = TRUE
for regular (“non cross”) matrix
products, %*%
cannot be specified. Instead, we provide the
%&%
operator for boolean matrix products.
A Matrix
object, in the one argument case
of an appropriate symmetric matrix class, i.e., inheriting from
symmetricMatrix
.
signature(x = "dgeMatrix", y = "dgeMatrix")
:
Matrix multiplication; ditto for several other signature
combinations, see showMethods("%*%", class = "dgeMatrix")
.
signature(x = "dtrMatrix", y = "matrix")
and other
signatures (use showMethods("%*%", class="dtrMatrix")
):
matrix multiplication. Multiplication of (matching) triangular
matrices now should remain triangular (in the sense of class
triangularMatrix).
signature(x = "dgeMatrix", y = "dgeMatrix")
:
ditto for several other signatures, use
showMethods("crossprod", class = "dgeMatrix")
, matrix
crossproduct, an efficient version of t(x) %*% y
.
signature(x = "CsparseMatrix", y = "missing")
returns t(x) %*% x
as an dsCMatrix
object.
signature(x = "TsparseMatrix", y = "missing")
returns t(x) %*% x
as an dsCMatrix
object.
signature(x = "dtrMatrix", y =
"matrix")
and other signatures, see "%*%"
above.
boolArith = TRUE
, FALSE
or NA
has been newly
introduced for Matrix 1.2.0 (March 2015). Its implementation
has still not been tested extensively. Notably the behaviour for
sparse matrices with x
slots containing extra zeros had not been
documented previously, see the %&%
help page.
Currently, boolArith = TRUE
is implemented via
CsparseMatrix
coercions which may be quite
inefficient for dense matrices. Contributions for efficiency
improvements are welcome.
tcrossprod
in R's base, and
crossprod
and %*%
.
Matrix package %&%
for boolean matrix product
methods.
## A random sparse "incidence" matrix :
m < matrix(0, 400, 500)
set.seed(12)
m[runif(314, 0, length(m))] < 1
mm < as(m, "CsparseMatrix")
object.size(m) / object.size(mm) # smaller by a factor of > 200
## tcrossprod() is very fast:
system.time(tCmm < tcrossprod(mm))# 0 (PIII, 933 MHz)
system.time(cm < crossprod(t(m))) # 0.16
system.time(cm. < tcrossprod(m)) # 0.02
stopifnot(cm == as(tCmm, "matrix"))
## show sparse sub matrix
tCmm[1:16, 1:30]
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