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author | endolith <endolith@gmail.com> | 2013-11-24 11:21:02 -0500 |
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committer | endolith <endolith@gmail.com> | 2014-03-22 19:15:54 -0400 |
commit | de0e571e324e4f11187b79c91b0fe0cc03b27402 (patch) | |
tree | 192f1b1d7f0e06f444f4e8d507dc133f86677e20 /numpy/core/numeric.py | |
parent | 2b984294e98a7cf1e60455cf9022ca7b7e6a7a84 (diff) | |
download | numpy-de0e571e324e4f11187b79c91b0fe0cc03b27402.tar.gz |
DOC: Link convolve with polymul
Matlab uses `conv` for both convolution and polynomial multiplication. Clarifying that numpy has functions for each.
Diffstat (limited to 'numpy/core/numeric.py')
-rw-r--r-- | numpy/core/numeric.py | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py index ab8a17e34..778eed8c3 100644 --- a/numpy/core/numeric.py +++ b/numpy/core/numeric.py @@ -941,6 +941,8 @@ def convolve(a,v,mode='full'): scipy.signal.fftconvolve : Convolve two arrays using the Fast Fourier Transform. scipy.linalg.toeplitz : Used to construct the convolution operator. + polymul : Polynomial multiplication. Same output as convolve, but also + accepts poly1d objects as input. Notes ----- |