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| author | mattip <matti.picus@gmail.com> | 2019-01-21 23:42:56 +0200 |
|---|---|---|
| committer | mattip <matti.picus@gmail.com> | 2019-01-21 23:42:56 +0200 |
| commit | d2a6daead874762f992532106502c448a9d43758 (patch) | |
| tree | bf103119227626d08321e058ef8280fdb021dfeb /numpy/linalg | |
| parent | 3cbc11ac56054ad3ac7461e57433aefe37f2e3e4 (diff) | |
| download | numpy-d2a6daead874762f992532106502c448a9d43758.tar.gz | |
DOC: remove python2-only methods, small cleanups
Diffstat (limited to 'numpy/linalg')
| -rw-r--r-- | numpy/linalg/linalg.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 17e84be2d..189c64a39 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -2634,7 +2634,7 @@ def multi_dot(arrays): def cost(A, B): return A.shape[0] * A.shape[1] * B.shape[1] - Let's assume we have three matrices + Assume we have three matrices :math:`A_{10x100}, B_{100x5}, C_{5x50}`. The costs for the two different parenthesizations are as follows:: |