scipy.linalg.eigvals(a, b=None, overwrite_a=False, check_finite=True)[source]

Compute eigenvalues from an ordinary or generalized eigenvalue problem.

Find eigenvalues of a general matrix:

a   vr[:,i] = w[i]        b   vr[:,i]
Parameters :

a : (M, M) array_like

A complex or real matrix whose eigenvalues and eigenvectors will be computed.

b : (M, M) array_like, optional

Right-hand side matrix in a generalized eigenvalue problem. If omitted, identity matrix is assumed.

overwrite_a : boolean, optional

Whether to overwrite data in a (may improve performance)

check_finite : boolean, optional

Whether to check the input matrixes contain only finite numbers. Disabling may give a performance gain, but may result to problems (crashes, non-termination) if the inputs do contain infinities or NaNs.

Returns :

w : (M,) double or complex ndarray

The eigenvalues, each repeated according to its multiplicity, but not in any specific order.

Raises :

LinAlgError :

If eigenvalue computation does not converge

See also

eigenvalues of symmetric or Hermitian arrays,
eigenvalues and right eigenvectors of general arrays.
eigenvalues and eigenvectors of symmetric/Hermitian arrays.

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