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Nonlinear objectives, nonlinear constraints, non-convex objective, non-convex feasible region.
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Does Quadratic Programming get easier when it's described by a diagonal matrix?
Generally, Quadratic Programming solves the problem
$$\text{Given }Q, c, A, b,\text{ choose }x \text{ to maximize } x^TQx + c^Tx \text{ subject to } Ax \le b$$
In this form, Quadratic Programming is …