Daniel P. Robinson

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20172026

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Showing 2017 · math.OCShow all

2 papers · 2 filters

math.OC2017

A Self-Correcting Variable-Metric Algorithm Framework for Nonsmooth Optimization

Frank E. Curtis, Daniel P. Robinson, Baoyu Zhou

An algorithm framework is proposed for minimizing nonsmooth functions. The framework is variable-metric in that, in each iteration, a step is computed using a symmetric positive de…

math.OC2017

An Inexact Regularized Newton Framework with a Worst-Case Iteration Complexity of $O (ε^{- 3/2})$ for Nonconvex Optimization

Frank E. Curtis, Daniel P. Robinson, Mohammadreza Samadi

An algorithm for solving smooth nonconvex optimization problems is proposed that, in the worst-case, takes $O (ε^{- 3/2})$ iterations to drive the norm of the gradient of t…

A Self-Correcting Variable-Metric Algorithm Framework for Nonsmooth Optimization

An Inexact Regularized Newton Framework with a Worst-Case Iteration Complexity of O(ε−3/2) for Nonconvex Optimization

An Inexact Regularized Newton Framework with a Worst-Case Iteration Complexity of $O (ε^{- 3/2})$ for Nonconvex Optimization