test_eigen_solver.py
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1 import eigenpy
2 eigenpy.switchToNumpyArray()
3 
4 import numpy as np
5 import numpy.linalg as la
6 
7 dim = 100
8 A = np.random.rand(dim,dim)
9 
10 es = eigenpy.EigenSolver(A)
11 
12 V = es.eigenvectors()
13 D = es.eigenvalues()
14 
15 assert eigenpy.is_approx(A.dot(V).real,V.dot(np.diag(D)).real)
16 assert eigenpy.is_approx(A.dot(V).imag,V.dot(np.diag(D)).imag)
EIGEN_DONT_INLINE bool is_approx(const Eigen::MatrixBase< MatrixType1 > &mat1, const Eigen::MatrixBase< MatrixType2 > &mat2)
Definition: is-approx.hpp:21


eigenpy
Author(s): Justin Carpentier, Nicolas Mansard
autogenerated on Sat Apr 17 2021 02:37:59