unittest
python
test_eigen_solver.py
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import
numpy
as
np
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import
eigenpy
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dim = 100
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A = np.random.rand(dim, dim)
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es = eigenpy.EigenSolver(A)
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V = es.eigenvectors()
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D = es.eigenvalues()
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assert
eigenpy.is_approx
(A.dot(V).real, V.dot(np.diag(D)).real)
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assert
eigenpy.is_approx
(A.dot(V).imag, V.dot(np.diag(D)).imag)
eigenpy::is_approx
EIGEN_DONT_INLINE bool is_approx(const Eigen::MatrixBase< MatrixType1 > &mat1, const Eigen::MatrixBase< MatrixType2 > &mat2)
Definition:
is-approx.hpp:20
eigenpy
Author(s): Justin Carpentier, Nicolas Mansard
autogenerated on Fri Jun 2 2023 02:10:26