expm_cond(A, check_finite=True)
A faster estimate for the condition number in the 1-norm has been published but is not yet implemented in SciPy.
Square input matrix with shape (N, N).
Whether to check that the input matrix contains only finite numbers. Disabling may give a performance gain, but may result in problems (crashes, non-termination) if the inputs do contain infinities or NaNs.
The relative condition number of the matrix exponential in the Frobenius norm
Relative condition number of the matrix exponential in the Frobenius norm.
expm
Compute the exponential of a matrix.
expm_frechet
Compute the Frechet derivative of the matrix exponential.
>>> from scipy.linalg import expm_condSee :
... A = np.array([[-0.3, 0.2, 0.6], [0.6, 0.3, -0.1], [-0.7, 1.2, 0.9]])
... k = expm_cond(A)
... k 1.7787805864469866
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.linalg._expm_frechet.expm_cond
scipy.linalg._expm_frechet.expm_frechet_kronform
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