How to avoid repeated computation when the result is a symmetric matrix?

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Hi all,
When obtaining a symmetric matrix, we know that we only need to compute and store the elements of upper triangular part. Is there a way to only perform these computations related to the upper triangular part, such that the total number of computation can be reduced by almost half?
Check this example:
clear; clc;
a = rand(5, 1);
b = rand(5, 1);
c = rand(5, 1);
x = {a b c};
xtx = zeros(3, 3);
for i = 1:3
for j = 1:3
pass = x{i}' * x{j};
xtx(i, j) = xtx(i, j) + pass;
end
end
'xtx' is symmetric, but the for loop here computed all elements. Total number of vector products is 9, while we know only 6 products are really needed. If the number of computations is large, then the saving can be dramatic. So how can we solve this?
Many thanks!
  4 个评论
Adam
Adam 2017-3-30
I started out with that and changed it. You can just calculate the diagonal separately, but I guess j = i:3 is fine after all.

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Xh Du
Xh Du 2017-3-31
Guess answer is in the comment, credit: Adam.
https://uk.mathworks.com/matlabcentral/answers/332568-how-to-avoid-repeated-computation-when-the-result-is-a-symmetric-matrix#comment_441260

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