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authorendolith <endolith@gmail.com>2013-11-24 11:21:02 -0500
committerendolith <endolith@gmail.com>2014-03-22 19:15:54 -0400
commitde0e571e324e4f11187b79c91b0fe0cc03b27402 (patch)
tree192f1b1d7f0e06f444f4e8d507dc133f86677e20 /numpy/core/numeric.py
parent2b984294e98a7cf1e60455cf9022ca7b7e6a7a84 (diff)
downloadnumpy-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.py2
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
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