Dimensional problem in for loop.

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Xiaohan Du il 8 Nov 2017
Commentato: Greg il 8 Nov 2017
Hi all,
Imagine there is function which takes a matrix as input, perform some operations to each element, and gives an output of same dimension matrix. The dimension of the input matrix can be random. For example:
clear; clc;
% the 1d case.
inpt1d = [1 2 3]';
otpt1d = zeros(3, 1);
for i = 1:3
% the operation is square root.
otpt1d(i) = sqrt(inpt1d(i));
end
% the 2d case.
inpt2d = [1 2 3; 4 5 6; 7 8 9]';
otpt2d = zeros(3, 3);
for i = 1:3
for j = 1:3
otpt2d(i, j) = sqrt(inpt2d(i, j));
end
end
Here in the example I manually set i and j for 2d case. However if I want the input to suit any dimension, I cannot set the index manually any more. So for this kind of problem, if I'd like to deal with any dimensions with for loop, how should I do it?
Thanks!
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Greg il 8 Nov 2017
Modificato: Greg il 8 Nov 2017
MATLAB inherently understands linear-indexing, do some Google searching on those terms and you should learn you only ever need a single loop (with maybe a tiny bit of slick pre-allocation).

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KL il 8 Nov 2017
Modificato: KL il 8 Nov 2017
EDITED
First you should make sure if loop is required at all in the first place, if yes then I would suggest linear indexing and reshape.
For example
A = rand(3,3,3);
B = A(:);
now it's just a column vector. you could use a single loop with numel(). and once you are done, you could reshape it like
C = reshape(B,size(A))
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KL il 8 Nov 2017
Ah yes, I totally misread it, thanks Greg.
Greg il 8 Nov 2017
The "tiny bit of slick pre-allocation" I referred to in my comment to the original question negates the reshape:
A = rand(3,3,3);
B = 0.*A; % or B = NaN.*A;

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