2 votes

Relaxing non-affine equality constraints in convex optimization

Your reasoning is correct. If $g(x)$ is a jointly convex function of $x$, then $g(x) \le 0$ is a convex constraint. However, if, as stated, $g(x)$ is not affine, then except for some trivial cases, $...
Mark L. Stone's user avatar

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