Hi all,
I wish to find a 3x3 rotation (orthogonal) matrix $\mathbf{R}$ such that it maximizes the following matrix norm:
$||\mathbf{A} \mathbf{D}_r \mathbf{D}_b ||_2$
where $\mathbf{A}$ is a known $M \times 3N$ matrix,
$\mathbf{D}_r = diag(\mathbf{R})$ is the unknown $3N \times 3N$ block diagonal matrix,
$\mathbf{D}_b = diag(\mathbf{v}_i), i=1\dots N$ is a known $3N \times N$ block diagonal matrix.
This optimization problem arises from an engineering estimation problem with noisy measurements. I believe it is way beyond a trivial math problem, at least for an engineer like me. I hope that someone can give me some advice on how to tackle it. Thanks so much.
Daniel
