From what I read here Convex Optimization, Appendix B and Perfect Duality §2.3, strong duality holds for quadratic programs of the form: $$ \min_x x^\top Ax+x^\top a+\alpha \ni x^\top Bx+x^\top b+\beta\le 0 $$
I have some trouble understanding why.
2026-03-28 22:30:57.1774737057
Why is the duality gap zero for non convex quadratic programming with a single constraint?
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