Vander
Arguments
- x
(Tensor) 1-D input tensor.
- N
(int, optional) Number of columns in the output. If N is not specified, a square array is returned \((N = len(x))\).
- increasing
(bool, optional) Order of the powers of the columns. If TRUE, the powers increase from left to right, if FALSE (the default) they are reversed.
vander(x, N=None, increasing=FALSE) -> Tensor
Generates a Vandermonde matrix.
The columns of the output matrix are elementwise powers of the input vector \(x^{(N-1)}, x^{(N-2)}, ..., x^0\). If increasing is TRUE, the order of the columns is reversed \(x^0, x^1, ..., x^{(N-1)}\). Such a matrix with a geometric progression in each row is named for Alexandre-Theophile Vandermonde.
Examples
if (torch_is_installed()) {
x <- torch_tensor(c(1, 2, 3, 5))
torch_vander(x)
torch_vander(x, N=3)
torch_vander(x, N=3, increasing=TRUE)
}
#> torch_tensor
#> 1 1 1
#> 1 2 4
#> 1 3 9
#> 1 5 25
#> [ CPUFloatType{4,3} ]