rkeops (version 2.2.2)

unaryop.LazyTensor: Build a unary operation

Description

Symbolically applies opstr operation to x.

Usage

unaryop.LazyTensor(
  x,
  opstr,
  opt_arg = NA,
  opt_arg2 = NA,
  res_type = NA,
  dim_res = NA
)

Value

An object of class "LazyTensor" or "ComplexLazyTensor".

Arguments

x

A LazyTensor, a ComplexLazyTensor, a vector of numeric values, or a scalar value.

opstr

A text string corresponding to an operation.

opt_arg

An optional argument which can be a scalar value.

opt_arg2

An optional argument which can be a scalar value.

res_type

NA (default) or a character string among "LazyTensor" and "ComplexLazyTensor", to specify if a change of class is required for the result. (Useful especially when dealing with complex-to-real or real-to-complex functions).

dim_res

NA (default) or an integer corresponding to the inner dimension of the output LazyTensor. If NA, dim_res is set to the inner dimension of the input LazyTensor.

Author

Chloe Serre-Combe, Amelie Vernay

Examples

if (FALSE) {
x <- 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'
una_x <- unaryop.LazyTensor(x_i, "Minus")   # symbolic matrix

una2_x <- unaryop.LazyTensor(x_i, "Pow", opt_arg = 3)  # symbolic matrix

# example with not NA dim_res:
## set dim_res to 1 because the "Norm2" operation results on a (symbolic) scalar
una3_x <- unaryop.LazyTensor(x, "Norm2",
                             res_type = "LazyTensor",
                             dim_res = 1)
}