Re: some multi-dimensional matrix problem

[Etienne Grossmann]

  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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