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Complexity of Quadratic Programming where the symmetric matrix Q is positive semidefinite only in the feasible directions
playing around with stuff for my dissertation, I derived a quadratic problem in the general form
\begin{equation}
\begin{aligned}
\min_{x} \quad & x^TQx + c^Tx \\
\textrm{s.t.} \quad & Ax \leq ...
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On convex quadratic programming clarification
We know convex quadratic programming is in $P$.
Is it also in $P$ if the function of interest is only convex in the domain of interest?
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