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Diffstat (limited to 'numpy/linalg/linalg.py')
| -rw-r--r-- | numpy/linalg/linalg.py | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 47b1c4050..0f2715319 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -2134,12 +2134,12 @@ def lstsq(a, b, rcond="warn"): Return the least-squares solution to a linear matrix equation. Solves the equation :math:`a x = b` by computing a vector `x` that - minimizes the Euclidean 2-norm :math:`\| b - a x \|_2`. 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). If `a` - is square and of full rank, then `x` (but for round-off error) is - the "exact" solution of the equation. + minimizes the squared Euclidean 2-norm :math:`\| b - a x \|^2_2`. + 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). + If `a` is square and of full rank, then `x` (but for round-off error) + is the "exact" solution of the equation. Parameters ---------- |