Function solve_matrix 

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

Solve A X = B for column-major Matrix values. This routes the operation through the configured tenferro backend and keeps matrix-to-tensor conversion centralized in tensor4all-tensorbackend.

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};
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(&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);