Optimizing a matrix of values
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Hi, I need help in optimizing a matrix of values. Assuming a 3x3 matrix, I would have this matrix:
I needed the values of A to F be optimized. What I would usually do is to just take [A B C D E F] as an input value and call it a day. To be fair, this works decently.
My main issue is that my matrix usually changes size, ie. it becomes this:
I will have to change the input to [A B] this time. My question, is, is there a more elegant way of doing these things: Is there a way for me to simply plug in the two matrices without reshaping them and forcing 0 on the diagonal?
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採用された回答
Matt J
2023 年 12 月 14 日
You could define the whole matrix as unknown, but with diagonal elements bound to zero:
LB=-inf(n);
LB(1:n+1:end)=0;
UB=-LB;
M=optimvar('M',[n,n],'Lower',LB,'Upper',UB);
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その他の回答 (1 件)
madhan ravi
2023 年 12 月 14 日
a = zeros(3);
[m, n] = size(a);
a(~diag(1 : m)) = 1 : m * n - m;
a.'
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madhan ravi
2023 年 12 月 14 日
編集済み: madhan ravi
2023 年 12 月 14 日
a = zeros(2);
[m, n] = size(a);
a(~diag(1 : m)) = m * n - m : -1 : 1
%a(~diag(1 : m)) = flip(your_input)
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