[Numpy-svn] [numpy/numpy] 332d62: ENH: Improve accuracy of numpy.gradient at edges
GitHub
noreply@github....
Sat Sep 7 13:06:11 CDT 2013
Branch: refs/heads/master
Home: https://github.com/numpy/numpy
Commit: 332d628744a0670234585053dbe32a3e82e0c4db
https://github.com/numpy/numpy/commit/332d628744a0670234585053dbe32a3e82e0c4db
Author: danieljfarrell <danieljfarrel@me.com>
Date: 2013-09-07 (Sat, 07 Sep 2013)
Changed paths:
M numpy/lib/function_base.py
M numpy/lib/tests/test_function_base.py
Log Message:
-----------
ENH: Improve accuracy of numpy.gradient at edges
* numpy.gradient has been enhanced to use a second order accurate
one-sided finite difference stencil at boundary elements of the
array. Second order accurate central difference are still used for
the interior elements. The result is a fully second order accurate
approximation of the gradient over the full domain.
* The one-sided stencil uses 3 elements each with a different weight. A
forward difference is used for the first element,
dy/dx ~ -(3.0*y[0] - 4.0*y[1] + y[2]) / (2.0*dx)
and backwards difference is used for the last element,
dy/dx ~ (3.0*y[-1] - 4.0*y[-2] + y[-3]) / (2.0*dx)
* Because the datetime64 datatype cannot be multiplied a view is taken
of datetime64 arrays and cast to int64. The gradient algorithm is
then applied to the view rather than the input array.
* Previously no dimension checks were performed on the input array. Now
if the array size along the differentiation axis is less than 2, a
ValueError is raised which explains that more elements are needed. If
the size is exactly two the function falls back to using a 2 point
stencil (the old behaviour). If the size is 3 and above then the
higher accuracy methods are used.
* A new test has been added which validates the higher accuracy. Old
tests have been updated to pass. Note, this should be expected
because the boundary elements now return different (more accurate)
values.
Commit: 089cc017cdc0b8105d40d74eae15539b1e309e01
https://github.com/numpy/numpy/commit/089cc017cdc0b8105d40d74eae15539b1e309e01
Author: Charles Harris <charlesr.harris@gmail.com>
Date: 2013-09-07 (Sat, 07 Sep 2013)
Changed paths:
M numpy/lib/function_base.py
M numpy/lib/tests/test_function_base.py
Log Message:
-----------
Merge branch 'gradient'
* gradient:
ENH: Improve accuracy of numpy.gradient at edges
Compare: https://github.com/numpy/numpy/compare/7679c14ab9b2...089cc017cdc0
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