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20172021
most citedImproved second-order evaluation complexity for unconstrained nonlinear optimization using high-order regularized models

17 citations · 27 across the 7 of their papers we have counts for

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4 papers · 1 filter

math.OC2017

Worst-case evaluation complexity and optimality of second-order methods for nonconvex smooth optimization

Coralia Cartis, Nick I. M. Gould, Philippe L. Toint

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…

math.OC2017★ 17 cited

Improved second-order evaluation complexity for unconstrained nonlinear optimization using high-order regularized models

Coralia Cartis, Nicholas I. M. Gould, Philippe L. Toint

The unconstrained minimization of a sufficiently smooth objective function is considered, for which derivatives up to order , , are assumed to be available. An a…

math.OC2017★ 4 cited

Evaluation complexity bounds for smooth constrained nonlinear optimisation using scaled KKT conditions, high-order models and the criticality measure

Coralia Cartis, Nick Gould, Philippe L Toint

Evaluation complexity for convexly constrained optimization is considered and it is shown first that the complexity bound of proved by Cartis, Gould and Toint (IMAJNA…

math.OC2017★ 3 cited

Optimality of orders one to three and beyond: characterization and evaluation complexity in constrained nonconvex optimization

C. Cartis, N. I. M. Gould, Ph. L. Toint

Necessary conditions for high-order optimality in smooth nonlinear constrained optimization are explored and their inherent intricacy discussed. A two-phase minimization algorithm…