Tall Matrix Index Extraction

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Blake Van Winkle
Blake Van Winkle 2021-1-8
评论： Blake Van Winkle 2021-1-13
To All:
I have a varying size model of the dimensions (L x nx)
L = number of data points
nx = number of variables per data point
In the algorithm that I am using, it moves the data around to support a search of the data space.
A small example could be this:
x = [1,2;3,4;5,6];
id =[1,6;2,4;1,5];
xnew = x(id);
disp(xnew); %[1,6;3,2;1,4];
Now while this isn't too difficult, my state "x" is in reality a tall matrix.
xtall = tall(x);
xnewtall = x(id); % crashes!
Does anyone know how to do this without having to do every individual point independently?

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回答（1 个）

SaiDileep Kola
SaiDileep Kola 2021-1-13
Since tall matrices are challenging in terms of memory, how about parsing arrays "xtall" and "id" and using with appropriate offsets, up on that par-for would run efficiently, this could be a bit better thatn individual point independently.
Some task on similar problem is done here.
  1 个评论
Blake Van Winkle
Blake Van Winkle 2021-1-13
To SaiDileep:
I appreciate the thought. This approach does reduce the time required, but it is still less efficient than if there was a total dimensional indexing solution.
Thanks,
Blake

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