Do unconstrained optimal iteration-complexity bounds carry over to equality-constrained optimization?
Determine whether the worst-case iteration complexity guarantees established for unconstrained nonconvex optimization extend to smooth equality-constrained optimization without deterioration, specifically whether the optimal bounds for achieving approximate second-order KKT points carry over unchanged when smooth nonconvex equality constraints are present.
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In more concrete terms, the question of whether the worst-case complexity guarantees established for the unconstrained optimization setting carry over to the equality constrained one, remains open.
We also note that the present analysis relies on the full row rank of the constraint Jacobian $A_k$ at every iterate; extending the framework to rank-deficient constraints, for instance through weaker constraint qualifications or regularized normal steps, remains an open question for future work.