diff options
Diffstat (limited to 'numpy/linalg/linalg.py')
| -rw-r--r-- | numpy/linalg/linalg.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index 10d05f07f..9202e30b7 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -335,10 +335,11 @@ def inv(a): # Cholesky decomposition def cholesky(a): - """Compute the Cholesky decomposition of a matrix. + """ + Compute the Cholesky decomposition of a matrix. - Returns the Cholesky decomposition, :lm:`A = L L^*` of a Hermitian - positive-definite matrix :lm:`A`. + Returns the Cholesky decomposition, :math:`A = L L^*` of a Hermitian + positive-definite matrix :math:`A`. Parameters ---------- @@ -354,9 +355,8 @@ def cholesky(a): Examples -------- - >>> from numpy import array, linalg - >>> a = array([[1,-2j],[2j,5]]) - >>> L = linalg.cholesky(a) + >>> A = np.array([[1,-2j],[2j,5]]) + >>> L = np.linalg.cholesky(A) >>> L array([[ 1.+0.j, 0.+0.j], [ 0.+2.j, 1.+0.j]]) @@ -636,7 +636,7 @@ def eigvalsh(a, UPLO='L'): determinant and I is the identity matrix. """ - a, wrap = _makearray(a) + a, wrap = _makearray(a) _assertRank2(a) _assertSquareness(a) t, result_t = _commonType(a) |