Vector normalization

Symbolic vector normalization operation for LazyTensor objects.

Usage

normalize(x)

Arguments

x

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

Value

An object of class LazyTensor.

Details

normalize(x) returns a LazyTensor that encodes, symbolically, the vector normalization of x (with the Euclidean norm), same as rsqrt(sqnorm2(x)) * x.

See also

sqnorm2(), rsqrt()

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'
N_x <- norm2(x_i)                   # symbolic matrix, 150 rows and 3 columns
}