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| author | Aaron Voelker <arvoelke@gmail.com> | 2019-05-07 14:04:31 -0400 |
|---|---|---|
| committer | Aaron Voelker <arvoelke@gmail.com> | 2019-05-08 10:01:28 -0400 |
| commit | 3f22c3e0565561874298be33e129397c32c7e8a1 (patch) | |
| tree | a1b6baddcba5c94614ff878db54f2a97654ca991 /numpy/linalg/linalg.py | |
| parent | 5611663f8e4e41e46fd52daf63a78317ee238581 (diff) | |
| download | numpy-3f22c3e0565561874298be33e129397c32c7e8a1.tar.gz | |
DOC: Clarify rcond normalization in linalg.pinv
Closes #13497.
Diffstat (limited to 'numpy/linalg/linalg.py')
| -rw-r--r-- | numpy/linalg/linalg.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 29da77655..0aa8d5ca9 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -1900,9 +1900,9 @@ def pinv(a, rcond=1e-15, hermitian=False): Matrix or stack of matrices to be pseudo-inverted. rcond : (...) array_like of float Cutoff for small singular values. - Singular values smaller (in modulus) than - `rcond` * largest_singular_value (again, in modulus) - are set to zero. Broadcasts against the stack of matrices + Singular values less than or equal to + ``rcond * largest_singular_value`` are set to zero. + Broadcasts against the stack of matrices. hermitian : bool, optional If True, `a` is assumed to be Hermitian (symmetric if real-valued), enabling a more efficient method for finding singular values. |