DOC: Euclidean 2-norm -> squared Euclidean 2-norm

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
     ----------