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-rw-r--r--numpy/linalg/linalg.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py
index 4bd142c83..2eca1113d 100644
--- a/numpy/linalg/linalg.py
+++ b/numpy/linalg/linalg.py
@@ -811,8 +811,8 @@ def qr(a, mode='reduced'):
A matrix with orthonormal columns. When mode = 'complete' the
result is an orthogonal/unitary matrix depending on whether or not
a is real/complex. The determinant may be either +/- 1 in that
- case. In case the number of dimensions in the input array is
- greater than 2 then a stack of the matrices with above properties
+ case. In case the number of dimensions in the input array is
+ greater than 2 then a stack of the matrices with above properties
is returned.
r : ndarray of float or complex, optional
The upper-triangular matrix or a stack of upper-triangular
@@ -967,7 +967,7 @@ def qr(a, mode='reduced'):
gufunc = _umath_linalg.qr_reduced_m
else:
gufunc = _umath_linalg.qr_reduced_n
-
+
signature = 'DD->D' if isComplexType(t) else 'dd->d'
extobj = get_linalg_error_extobj(_raise_linalgerror_qr_r_raw)
q = gufunc(a, tau, signature=signature, extobj=extobj)
@@ -2174,7 +2174,7 @@ def lstsq(a, b, rcond="warn"):
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. Else, `x` minimizes the
- Euclidean 2-norm :math:`||b - ax||`. If there are multiple minimizing
+ Euclidean 2-norm :math:`||b - ax||`. If there are multiple minimizing
solutions, the one with the smallest 2-norm :math:`||x||` is returned.
Parameters