forked from M-Labs/nalgebra
51 lines
1.3 KiB
Rust
51 lines
1.3 KiB
Rust
use na::{Matrix4, RealSchur};
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use test::{self, Bencher};
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#[bench]
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fn schur_decompose_4x4(bh: &mut Bencher) {
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let m = Matrix4::<f64>::new_random();
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bh.iter(|| test::black_box(RealSchur::new(m.clone())))
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}
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#[bench]
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fn schur_decompose_10x10(bh: &mut Bencher) {
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let m = ::reproductible_dmatrix(10, 10);
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bh.iter(|| test::black_box(RealSchur::new(m.clone())))
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}
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#[bench]
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fn schur_decompose_100x100(bh: &mut Bencher) {
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let m = ::reproductible_dmatrix(100, 100);
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bh.iter(|| test::black_box(RealSchur::new(m.clone())))
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}
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#[bench]
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fn schur_decompose_200x200(bh: &mut Bencher) {
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let m = ::reproductible_dmatrix(200, 200);
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bh.iter(|| test::black_box(RealSchur::new(m.clone())))
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}
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#[bench]
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fn eigenvalues_4x4(bh: &mut Bencher) {
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let m = Matrix4::<f64>::new_random();
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bh.iter(|| test::black_box(m.complex_eigenvalues()))
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}
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#[bench]
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fn eigenvalues_10x10(bh: &mut Bencher) {
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let m = ::reproductible_dmatrix(10, 10);
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bh.iter(|| test::black_box(m.complex_eigenvalues()))
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}
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#[bench]
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fn eigenvalues_100x100(bh: &mut Bencher) {
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let m = ::reproductible_dmatrix(100, 100);
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bh.iter(|| test::black_box(m.complex_eigenvalues()))
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}
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#[bench]
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fn eigenvalues_200x200(bh: &mut Bencher) {
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let m = ::reproductible_dmatrix(200, 200);
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bh.iter(|| test::black_box(m.complex_eigenvalues()))
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}
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