Symbolic addition for LazyTensor
objects.
Usage
## S3 method for class 'LazyTensor'
+x
x + y
## S3 method for class 'ComplexLazyTensor'
+x
x + y
Details
If x
or y
is a LazyTensor
, x + y
returns a LazyTensor
that encodes, symbolically, the addition of x
and y
.
(In case one of the arguments is a vector or a scalar, it is first converted
to LazyTensor
).
Note: x
and y
input arguments should have the same inner dimension
or be of dimension 1.
Examples
if (FALSE) {
x <- matrix(runif(150 * 3), 150, 3) # arbitrary R matrix, 150 rows, 3 columns
y <- matrix(runif(150 * 3), 150, 3) # arbitrary R matrix, 150 rows, 3 columns
x_i <- LazyTensor(x, index = 'i') # creating LazyTensor from matrix x,
# indexed by 'i'
y_j <- LazyTensor(y, index = 'j') # creating LazyTensor from matrix y,
# indexed by 'j'
Sum_xy <- x_i + y_j # symbolic matrix, 150 rows and 3 columns
}