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| author | alex <argriffi@ncsu.edu> | 2015-06-22 09:49:31 -0400 |
|---|---|---|
| committer | alex <argriffi@ncsu.edu> | 2015-06-22 09:49:31 -0400 |
| commit | bec3440743e119a0cda7adf5d4b8ea1c350e0a6f (patch) | |
| tree | 8a27214715e3b372882ac7775cabc7ca55ea4fa8 /numpy/linalg/linalg.py | |
| parent | a43e86b0d9d567c7abb9478d5bff90905d3f70ec (diff) | |
| download | numpy-bec3440743e119a0cda7adf5d4b8ea1c350e0a6f.tar.gz | |
MAINT: eigenvalues returned by eigh are ascending
Diffstat (limited to 'numpy/linalg/linalg.py')
| -rw-r--r-- | numpy/linalg/linalg.py | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 45e12f1a3..ceb14f8ad 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -1151,7 +1151,8 @@ def eigh(a, UPLO='L'): Returns ------- w : (..., M) ndarray - The eigenvalues, not necessarily ordered. + The eigenvalues in ascending order, each repeated according to + its multiplicity. v : {(..., M, M) ndarray, (..., M, M) matrix} The column ``v[:, i]`` is the normalized eigenvector corresponding to the eigenvalue ``w[i]``. Will return a matrix object if `a` is |