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Re: some multi-dimensional matrix problem
From: |
Etienne Grossmann |
Subject: |
Re: some multi-dimensional matrix problem |
Date: |
Fri, 21 May 2004 17:22:03 -0400 |
User-agent: |
Mutt/1.4.2.1i |
Hi Bart,
something like:
octave:5> p = randn (1,3,4), res = reshape (p,3,4)
p =
ans(:,:,1) =
-0.56687 0.46960 1.76420
ans(:,:,2) =
-0.62780 0.10564 -0.21290
ans(:,:,3) =
-0.18718 0.34680 0.66555
ans(:,:,4) =
0.523143 -0.486609 0.042819
res =
-0.566865 -0.627797 -0.187179 0.523143
0.469599 0.105643 0.346800 -0.486609
1.764205 -0.212903 0.665555 0.042819
Hth,
Etienne
On Fri, May 21, 2004 at 04:02:30AM -0500, Bart Vandewoestyne wrote:
# Suppose you had a multi-dimensional matrix p that looked like:
#
# >> p
#
# p(:,:,1) =
#
# 0.8995 0.3137 0.2517 0.4330 0.8424
#
#
# p(:,:,2) =
#
# 0.1845 0.5082 0.4522 0.3256 0.3801
#
# I'm sure from my calculations that p(:,:,x) is always a 1xN vector.
# Now I want to combine all these 1xN vectors into a single result matrix,
# and I'm currently doing it like this (M is the max last dimension of p):
#
# for j=1:M,
# res(j,:) = p(:,:,j);
# end
#
# which gives me what i want, but I was wondering if there's a faster,
# more vectorized way...
#
# Thanks,
# Bart
#
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--
Etienne Grossmann ------ http://www.cs.uky.edu/~etienne
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