Worst-case evaluation complexity and optimality of second-order methods for nonconvex smooth optimization
We establish or refute the optimality of inexact second-order methods for unconstrained nonconvex optimization from the point of view of worst-case evaluation complexity, improving and generalizing the results of [15, 19]. To this aim, we consider a new general class of inexact second-order algorit...
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| Format: | Conference item |
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World Scientific
2018
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