loooooong vector difficulties

[Robert Leach]

Hi,

I have some data that's huge.  It's a string of zeroes and ones that I 
want to split up into a vector as input to a wavelet transform.  I'm 
talking 9 million elements.  I have 3 of these vectors.  First of all, 
even calling zeros(1,9000000) takes forever.  I do that to initially 
populate a convolution kernel and then change the first and last 10 
elements with taps.  Even those two, ten-iteration loops take forever.  
Second, octave eventually chokes.

Is there anything I can do to

	1: improve performance so that operations it does successfully go 
faster
	2: make octave more amenable to large data structures so it doesn't 
crash

?

If that's not possible, then what affect on my results would splitting 
up the data have?

Thanks,
Rob

=====================================================================
= Robert W. Leach                                                   =
= Los Alamos National Lab                                           =
= Bioscience Division: Bioinformatics & Computational Biology Group =
= MS M888                                                           =
= Los Alamos, NM 87545                                              =
= address@hidden                                                 =
= 505-667-2307                                                      =
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