Corrigendum: On the complexity of finding first-order critical points in constrained nonlinear optimization

In a recent paper (Cartis, Gould and Toint, Math. Prog. A 144(1-2) 93--106, 2014), the evaluation complexity of an algorithm to find an approximate first-order critical point for the general smooth constrained optimization problem was examined. Unfortunately, the proof of Lemma 3.5 in that paper uses a result from an earlier paper in an incorrect way, and indeed the result of the lemma is false. The purpose of this corrigendum is to provide a modification of the previous analysis that allows us to restore the complexity bound for a different, scaled measure of first-order criticality.

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Preprint, Rutherford Appleton, Laboratory, Chilton, Oxfordshire, England

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