Struct QrResult 

pub struct QrResult<T: Scalar> {
    pub q: Tensor<T>,
    pub r: Tensor<T>,
}

QR decomposition result: A = Q * R.

For an input of shape (m, n, *) with k = min(m, n):

• q: shape (m, k, *) (orthonormal columns)
• r: shape (k, n, *) (upper triangular)

Examples

use tenferro_linalg::qr;
use tenferro_tensor::{Tensor, MemoryOrder};
use tenferro_device::LogicalMemorySpace;

let a = Tensor::<f64>::zeros(&[4, 3],
    LogicalMemorySpace::MainMemory, MemoryOrder::ColumnMajor);
let result = qr(&a).unwrap();
assert_eq!(result.q.dims(), &[4, 3]);
assert_eq!(result.r.dims(), &[3, 3]);

Fields

q: Tensor<T>

Orthonormal factor. Shape: (m, k, *).

r: Tensor<T>

Upper triangular factor. Shape: (k, n, *).