diff options
| author | melissawm <melissawm.github@gmail.com> | 2021-10-22 12:11:18 -0300 |
|---|---|---|
| committer | melissawm <melissawm.github@gmail.com> | 2021-10-22 12:11:18 -0300 |
| commit | adea1d4fd4e1638f74bf1c8bc48b06992d569c7b (patch) | |
| tree | 317f72c0bde98bcb8423e826c384b9389ed30ca0 /numpy | |
| parent | 7d0a0db15ae9b02da5001b40b82e377812acf50e (diff) | |
| download | numpy-adea1d4fd4e1638f74bf1c8bc48b06992d569c7b.tar.gz | |
DOC: Clarify table contents in cond docstring
Diffstat (limited to 'numpy')
| -rw-r--r-- | numpy/linalg/linalg.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index d5bcb1cb4..e7196524e 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -1680,7 +1680,7 @@ def cond(x, p=None): x : (..., M, N) array_like The matrix whose condition number is sought. p : {None, 1, -1, 2, -2, inf, -inf, 'fro'}, optional - Order of the norm: + Order of the norm used in the condition number computation: ===== ============================ p norm for matrices @@ -1691,11 +1691,11 @@ def cond(x, p=None): -inf min(sum(abs(x), axis=1)) 1 max(sum(abs(x), axis=0)) -1 min(sum(abs(x), axis=0)) - 2 (largest sing. value)/(smallest sing. value) - -2 (smallest sing. value)/(largest sing. value) + 2 2-norm (largest sing. value) + -2 smallest singular value ===== ============================ - inf means the numpy.inf object, and the Frobenius norm is + inf means the `numpy.inf` object, and the Frobenius norm is the root-of-sum-of-squares norm. Returns |