Use proptest for testing the polar decomposition
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@ -153,6 +153,25 @@ mod proptest_tests {
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prop_assert!(relative_eq!(&m * &sol2, b2, epsilon = 1.0e-6));
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}
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}
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#[test]
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fn svd_polar_decomposition(m in dmatrix_($scalar)) {
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let svd = m.clone().svd(true, true);
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let (p, u) = svd.to_polar().unwrap();
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assert_relative_eq!(m, &p* &u, epsilon = 1.0e-5);
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// semi-unitary check
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assert_eq!(true, (u.is_orthogonal(1.0e-5)));
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// hermitian check
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assert_relative_eq!(p, p.adjoint(), epsilon = 1.0e-5);
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/*
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* Same thing, but using the method instead of calling the SVD explicitly.
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*/
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let (p2, u2) = m.clone().polar();
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assert_eq!(p, p2);
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assert_eq!(u, u2);
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}
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}
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}
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}
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@ -441,32 +460,3 @@ fn svd_sorted() {
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epsilon = 1.0e-5
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);
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}
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#[test]
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fn dynamic_square_matrix_polar_decomposition() {
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let m = DMatrix::<f64>::new_random(10, 10);
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let svd = m.clone().svd(true, true);
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let (p,u) = svd.to_polar().unwrap();
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assert_relative_eq!(m, &p*&u, epsilon = 1.0e-5);
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// unitary check
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assert_eq!(true, u.is_orthogonal(1.0e-5));
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// hermitian check
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assert_relative_eq!(p, p.adjoint(), epsilon = 1.0e-5);
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}
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#[test]
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fn dynamic_rectangular_matrix_polar_decomposition() {
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let m = DMatrix::<f64>::new_random(7, 5);
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let svd = m.clone().svd(true, true);
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let (p,u) = svd.to_polar().unwrap();
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assert_relative_eq!(m, &p*&u, epsilon = 1.0e-5);
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// semi-unitary check
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assert_eq!(true, (u.is_orthogonal(1.0e-5)));
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// hermitian check
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assert_relative_eq!(p, p.adjoint(), epsilon = 1.0e-5);
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}
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