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Avoiding for loops for multiplication of multidimensional matrices

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Tworit Dash
Tworit Dash 2022-6-1
评论： Tworit Dash 2022-6-1
I have to do a matrix multiplication of two vectors in principle to get a scalar. The vectors are (1 x 2) and (2 x 1). However, I need to do this for a lot of cases. Those cases are defined in matrix form like the following.
for i = 1:Niter
for k = 1:Cn
for ti = 1:T
E(i, k, ti) = [D(ti, :) - squeeze(y(i, k, ti, :)).'] * [D(ti, :) - squeeze(y(i, k, ti, :)).'].'
end
end
end
So, `D` is a matrix with T x 2 size, y is a 4D matrix with size `Niter x Cn x T x 2`. Is there a way to avoid these for loops? I just want to compute the row and column vectors for all different cases `Niter`, `Cn` and `T`.

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Matt J
Matt J 2022-6-1
编辑：Matt J 2022-6-1
D=reshape(D,1,1,T,2);
E=vecnorm(D-y,2,4).^2;
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