diff options
| -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 67b86e9fd..29da77655 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -1279,7 +1279,7 @@ def eig(a): [0. -0.70710678j, 0. +0.70710678j]]) Complex-valued matrix with real e-values (but complex-valued e-vectors); - note that ``a.conj().T = a``, i.e., `a` is Hermitian. + note that ``a.conj().T == a``, i.e., `a` is Hermitian. >>> a = np.array([[1, 1j], [-1j, 1]]) >>> w, v = LA.eig(a) @@ -2288,7 +2288,7 @@ def lstsq(a, b, rcond="warn"): def _multi_svd_norm(x, row_axis, col_axis, op): """Compute a function of the singular values of the 2-D matrices in `x`. - This is a private utility function used by ``numpy.linalg.norm()``. + This is a private utility function used by `numpy.linalg.norm()`. Parameters ---------- @@ -2296,7 +2296,7 @@ def _multi_svd_norm(x, row_axis, col_axis, op): row_axis, col_axis : int The axes of `x` that hold the 2-D matrices. op : callable - This should be either numpy.amin or ``numpy.amax`` or ``numpy.sum``. + This should be either numpy.amin or `numpy.amax` or `numpy.sum`. Returns ------- |