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Diffstat (limited to 'numpy/lib/function_base.py')
| -rw-r--r-- | numpy/lib/function_base.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index fc49a6fd7..bee60fa20 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -1644,7 +1644,7 @@ def gradient(f, *varargs, **kwargs): + \\left(h_{d}^{2} - h_{s}^{2}\\right)f\\left(x_{i}\\right) - h_{d}^{2}f\\left(x_{i}-h_{s}\\right)} { h_{s}h_{d}\\left(h_{d} + h_{s}\\right)} - + \mathcal{O}\\left(\\frac{h_{d}h_{s}^{2} + + \\mathcal{O}\\left(\\frac{h_{d}h_{s}^{2} + h_{s}h_{d}^{2}}{h_{d} + h_{s}}\\right) @@ -1656,7 +1656,7 @@ def gradient(f, *varargs, **kwargs): \\hat f_{i}^{(1)}= \\frac{f\\left(x_{i+1}\\right) - f\\left(x_{i-1}\\right)}{2h} - + \mathcal{O}\\left(h^{2}\\right) + + \\mathcal{O}\\left(h^{2}\\right) With a similar procedure the forward/backward approximations used for boundaries can be derived. |