Symbolic power binary operation for LazyTensor
objects.
Details
If x
or y
is a LazyTensor
, x^y
returns a LazyTensor
that encodes, symbolically, the element-wise value of x
to the power
of y
.
(In case one of the arguments is a vector or a scalar, it is first converted
to LazyTensor
).
Note:
if
y = 2
,x^y
relies on the"Square"
KeOps
operation;if
y = 0.5
,x^y
uses on the"Sqrt"
KeOps
operation;if
y = -0.5
,x^y
uses on the"Rsqrt"
KeOps
operation.
Examples
if (FALSE) {
x <- matrix(runif(150 * 3), 150, 3) # arbitrary R matrix, 150 rows, 3 columns
y <- matrix(runif(250 * 3), 250, 3) # arbitrary R matrix, 250 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'
x_pow_y <- x_i^y_j # symbolic matrix
}