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author | Alexander Belopolsky <abalkin@enlnt.com> | 2012-11-09 14:23:49 -0500 |
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committer | Alexander Belopolsky <abalkin@enlnt.com> | 2012-11-09 14:23:49 -0500 |
commit | c6f27b0742a34f6215fcfd42541b9e9696796682 (patch) | |
tree | 5cac5de96274852a878e7f6886079cda2e562c7b /numpy | |
parent | 75b8119f8145ab08a436ecfd7de868c6c6ba8f6d (diff) | |
download | numpy-c6f27b0742a34f6215fcfd42541b9e9696796682.tar.gz |
Fixed a mistake in linalg.eig() documentation.
Diffstat (limited to 'numpy')
-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 398733a86..01824056e 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -946,7 +946,7 @@ def eig(a): The number `w` is an eigenvalue of `a` if there exists a vector `v` such that ``dot(a,v) = w * v``. Thus, the arrays `a`, `w`, and - `v` satisfy the equations ``dot(a[i,:], v[i]) = w[i] * v[:,i]`` + `v` satisfy the equations ``dot(a[:,:], v[:,i]) = w[i] * v[:,i]`` for :math:`i \\in \\{0,...,M-1\\}`. The array `v` of eigenvectors may not be of maximum rank, that is, some |