jax.numpy.linalg.eigvals

jax.numpy.linalg.eigvals(a)

Compute the eigenvalues of a general matrix.

LAX-backend implementation of numpy.linalg.eigvals().

Original docstring below.

Main difference between eigvals and eig: the eigenvectors aren’t returned.

Parameters:

a ((..., M, M) array_like) – A complex- or real-valued matrix whose eigenvalues will be computed.

Returns:

w – The eigenvalues, each repeated according to its multiplicity. They are not necessarily ordered, nor are they necessarily real for real matrices.

Return type:

(…, M,) ndarray