nalgebra/benches/linalg/schur.rs

70 lines
2.1 KiB
Rust

use na::{Matrix4, Schur};
fn schur_decompose_4x4(bh: &mut criterion::Criterion) {
let m = Matrix4::<f64>::new_random();
bh.bench_function("schur_decompose_4x4", move |bh| {
bh.iter(|| std::hint::black_box(Schur::new(m.clone())))
});
}
fn schur_decompose_10x10(bh: &mut criterion::Criterion) {
let m = crate::reproductible_dmatrix(10, 10);
bh.bench_function("schur_decompose_10x10", move |bh| {
bh.iter(|| std::hint::black_box(Schur::new(m.clone())))
});
}
fn schur_decompose_100x100(bh: &mut criterion::Criterion) {
let m = crate::reproductible_dmatrix(100, 100);
bh.bench_function("schur_decompose_100x100", move |bh| {
bh.iter(|| std::hint::black_box(Schur::new(m.clone())))
});
}
fn schur_decompose_200x200(bh: &mut criterion::Criterion) {
let m = crate::reproductible_dmatrix(200, 200);
bh.bench_function("schur_decompose_200x200", move |bh| {
bh.iter(|| std::hint::black_box(Schur::new(m.clone())))
});
}
fn eigenvalues_4x4(bh: &mut criterion::Criterion) {
let m = Matrix4::<f64>::new_random();
bh.bench_function("eigenvalues_4x4", move |bh| {
bh.iter(|| std::hint::black_box(m.complex_eigenvalues()))
});
}
fn eigenvalues_10x10(bh: &mut criterion::Criterion) {
let m = crate::reproductible_dmatrix(10, 10);
bh.bench_function("eigenvalues_10x10", move |bh| {
bh.iter(|| std::hint::black_box(m.complex_eigenvalues()))
});
}
fn eigenvalues_100x100(bh: &mut criterion::Criterion) {
let m = crate::reproductible_dmatrix(100, 100);
bh.bench_function("eigenvalues_100x100", move |bh| {
bh.iter(|| std::hint::black_box(m.complex_eigenvalues()))
});
}
fn eigenvalues_200x200(bh: &mut criterion::Criterion) {
let m = crate::reproductible_dmatrix(200, 200);
bh.bench_function("eigenvalues_200x200", move |bh| {
bh.iter(|| std::hint::black_box(m.complex_eigenvalues()))
});
}
criterion_group!(
schur,
schur_decompose_4x4,
schur_decompose_10x10,
schur_decompose_100x100,
schur_decompose_200x200,
eigenvalues_4x4,
eigenvalues_10x10,
eigenvalues_100x100,
eigenvalues_200x200
);