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| author | Sebastian Berg <sebastian@sipsolutions.net> | 2021-09-21 15:54:11 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-09-21 15:54:11 -0700 |
| commit | 66d33faabf1f19d4b192c38e927dfa727b0ed61f (patch) | |
| tree | f657cee2e071c1394f993abf9f1b3a18504414c6 /numpy/linalg/linalg.py | |
| parent | a838abe68ce6bf8164c31cc35a2ac8d5485754ec (diff) | |
| parent | 83960267dc097742cb67ef575504afa56f82b102 (diff) | |
| download | numpy-66d33faabf1f19d4b192c38e927dfa727b0ed61f.tar.gz | |
Merge pull request #19911 from DimitriPapadopoulos/codespell
DOC: Typos found by codespell
Diffstat (limited to 'numpy/linalg/linalg.py')
| -rw-r--r-- | numpy/linalg/linalg.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 2b686839a..95780d19d 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -1864,7 +1864,7 @@ def matrix_rank(A, tol=None, hermitian=False): References ---------- - .. [1] MATLAB reference documention, "Rank" + .. [1] MATLAB reference documentation, "Rank" https://www.mathworks.com/help/techdoc/ref/rank.html .. [2] W. H. Press, S. A. Teukolsky, W. T. Vetterling and B. P. Flannery, "Numerical Recipes (3rd edition)", Cambridge University Press, 2007, @@ -2159,7 +2159,7 @@ def lstsq(a, b, rcond="warn"): r""" Return the least-squares solution to a linear matrix equation. - Computes the vector `x` that approximatively solves the equation + Computes the vector `x` that approximately solves the equation ``a @ x = b``. The equation may be under-, well-, or over-determined (i.e., the number of linearly independent rows of `a` can be less than, equal to, or greater than its number of linearly independent columns). |