cupy.linalg.eigh¶

cupy.linalg.eigh(a, UPLO='L')[source]¶

Eigenvalues and eigenvectors of a symmetric matrix.

This method calculates eigenvalues and eigenvectors of a given symmetric matrix.

Note

Currenlty only 2-D matrix is supported.

Note

CUDA >=8.0 is required.

Parameters:	a (cupy.ndarray) – A symmetric 2-D square matrix. UPLO (str) – Select from `'L'` or `'U'`. It specifies which part of `a` is used. `'L'` uses the lower triangular part of `a`, and `'U'` uses the upper triangular part of `a`.
Returns:	Returns a tuple `(w, v)`. `w` contains eigenvalues and `v` contains eigenvectors. `v[:, i]` is an eigenvector corresponding to an eigenvalue `w[i]`.
Return type:	tuple of `ndarray`