Function solve_matrix_owned 

pub fn solve_matrix_owned<T>(
    a: Matrix<T>,
    b: Matrix<T>,
) -> Result<Matrix<T>, BackendLinalgError>
where
    T: MatrixSolveScalar,

Solve A X = B while consuming column-major Matrix values. This routes the operation through the configured tenferro backend and reuses the input buffers when constructing backend tensors for directly supported scalar types.

Errors

Returns an error when the input shapes or scalar dtype are invalid (a /// shape or dtype mismatch) or the solve fails (a backend or singular /// failure).

Examples

use tensor4all_tensorbackend::{from_vec2d, solve_matrix_owned};
let a = from_vec2d(vec![vec![2.0_f64, 1.0], vec![1.0, 2.0]]);
let b = from_vec2d(vec![vec![1.0_f64], vec![0.0]]);
let x = solve_matrix_owned(a, b).unwrap();
assert!((x[[0, 0]] - 2.0 / 3.0).abs() < 1.0e-12);
assert!((x[[1, 0]] + 1.0 / 3.0).abs() < 1.0e-12);