jax.numpy.linalg.eigvals#
- jax.numpy.linalg.eigvals(a)[source]#
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