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great, agreed then on the move. I wouldn't really say that semidefinite programming is a special case of linear programming on a vector space; rather, I would say that it is a special case of cone programming, using the semidefinite cone (where as linear programming using the positive orthant cone).
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Regarding the comment you left on my Talk page, the image and text in the DCT article are correct as-is. The DCT-II is equivalent to a real-even DFT of length 4N consisting of the original DCT data mirrored and interleaved with zeros. The DCT-III is equivalent to a real-even DFT of length 4N
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consisting of the original DCT data mirrored twice (once with flipped sign), and no interleaved zeros (except for a couple of inserted zero points at the odd-symmetry points).
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Since abstract linear programming would interest few WP readers, I agree that semidefinite programming best belongs in the convex minimization section of the footer.
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