nalgebra/tests/linalg/hessenberg.rs
2017-08-15 19:07:18 +02:00

38 lines
1.0 KiB
Rust

use std::cmp;
use na::{DMatrix, Matrix2, Matrix4, Hessenberg};
#[test]
fn hessenberg_simple() {
let m = Matrix2::new(1.0, 0.0,
1.0, 3.0);
let hess = Hessenberg::new(m);
let (p, h) = hess.unpack();
assert!(relative_eq!(m, p * h * p.transpose(), epsilon = 1.0e-7))
}
#[cfg(feature = "arbitrary")]
quickcheck! {
fn hessenberg(n: usize) -> bool {
let n = cmp::max(1, cmp::min(n, 50));
let m = DMatrix::<f64>::new_random(n, n);
let hess = Hessenberg::new(m.clone());
let (p, h) = hess.unpack();
relative_eq!(m, &p * h * p.transpose(), epsilon = 1.0e-7)
}
fn hessenberg_static_mat2(m: Matrix2<f64>) -> bool {
let hess = Hessenberg::new(m);
let (p, h) = hess.unpack();
relative_eq!(m, p * h * p.transpose(), epsilon = 1.0e-7)
}
fn hessenberg_static(m: Matrix4<f64>) -> bool {
let hess = Hessenberg::new(m);
let (p, h) = hess.unpack();
relative_eq!(m, p * h * p.transpose(), epsilon = 1.0e-7)
}
}