nalgebra/benches/linalg/full_piv_lu.rs

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use na::{DMatrix, DVector, FullPivLU};
// Without unpack.
fn full_piv_lu_decompose_10x10(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(10, 10);
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bh.bench_function("full_piv_lu_decompose_10x10", move |bh| {
bh.iter(|| test::black_box(FullPivLU::new(m.clone())))
});
}
fn full_piv_lu_decompose_100x100(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(100, 100);
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bh.bench_function("full_piv_lu_decompose_100x100", move |bh| {
bh.iter(|| test::black_box(FullPivLU::new(m.clone())))
});
}
fn full_piv_lu_decompose_500x500(bh: &mut criterion::Criterion) {
let m = DMatrix::<f64>::new_random(500, 500);
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bh.bench_function("full_piv_lu_decompose_500x500", move |bh| {
bh.iter(|| test::black_box(FullPivLU::new(m.clone())))
});
}
fn full_piv_lu_solve_10x10(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(10, 10);
let lu = FullPivLU::new(m.clone());
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bh.bench_function("full_piv_lu_solve_10x10", move |bh| {
bh.iter(|| {
let mut b = DVector::<f64>::from_element(10, 1.0);
lu.solve(&mut b);
})
});
}
fn full_piv_lu_solve_100x100(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(100, 100);
let lu = FullPivLU::new(m.clone());
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bh.bench_function("full_piv_lu_solve_100x100", move |bh| {
bh.iter(|| {
let mut b = DVector::<f64>::from_element(100, 1.0);
lu.solve(&mut b);
})
});
}
fn full_piv_lu_solve_500x500(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(500, 500);
let lu = FullPivLU::new(m.clone());
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bh.bench_function("full_piv_lu_solve_500x500", move |bh| {
bh.iter(|| {
let mut b = DVector::<f64>::from_element(500, 1.0);
lu.solve(&mut b);
})
});
}
fn full_piv_lu_inverse_10x10(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(10, 10);
let lu = FullPivLU::new(m.clone());
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bh.bench_function("full_piv_lu_inverse_10x10", move |bh| {
bh.iter(|| test::black_box(lu.try_inverse()))
});
}
fn full_piv_lu_inverse_100x100(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(100, 100);
let lu = FullPivLU::new(m.clone());
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bh.bench_function("full_piv_lu_inverse_100x100", move |bh| {
bh.iter(|| test::black_box(lu.try_inverse()))
});
}
fn full_piv_lu_inverse_500x500(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(500, 500);
let lu = FullPivLU::new(m.clone());
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bh.bench_function("full_piv_lu_inverse_500x500", move |bh| {
bh.iter(|| test::black_box(lu.try_inverse()))
});
}
fn full_piv_lu_determinant_10x10(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(10, 10);
let lu = FullPivLU::new(m.clone());
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bh.bench_function("full_piv_lu_determinant_10x10", move |bh| {
bh.iter(|| test::black_box(lu.determinant()))
});
}
fn full_piv_lu_determinant_100x100(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(100, 100);
let lu = FullPivLU::new(m.clone());
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bh.bench_function("full_piv_lu_determinant_100x100", move |bh| {
bh.iter(|| test::black_box(lu.determinant()))
});
}
fn full_piv_lu_determinant_500x500(bh: &mut criterion::Criterion) {
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let m = DMatrix::<f64>::new_random(500, 500);
let lu = FullPivLU::new(m.clone());
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bh.bench_function("full_piv_lu_determinant_500x500", move |bh| {
bh.iter(|| test::black_box(lu.determinant()))
});
}
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criterion_group!(
full_piv_lu,
full_piv_lu_decompose_10x10,
full_piv_lu_decompose_100x100,
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// full_piv_lu_decompose_500x500,
full_piv_lu_solve_10x10,
full_piv_lu_solve_100x100,
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// full_piv_lu_solve_500x500,
full_piv_lu_inverse_10x10,
full_piv_lu_inverse_100x100,
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// full_piv_lu_inverse_500x500,
full_piv_lu_determinant_10x10,
full_piv_lu_determinant_100x100,
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// full_piv_lu_determinant_500x500
);