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20172021
most citedEvaluation complexity bounds for smooth constrained nonlinear optimisation using scaled KKT conditions, high-order models and the criticality measure

4 citations · 12 across the 6 of their papers we have counts for

collaborators

12 papers

math.OC2021

The Impact of Noise on Evaluation Complexity: The Deterministic Trust-Region Case

Stefania Bellavia, Gianmarco Gurioli, Benedetta Morini +1

Intrinsic noise in objective function and derivatives evaluations may cause premature termination of optimization algorithms. Evaluation complexity bounds taking this situation int…

math.NA2021

Quadratic and Cubic Regularisation Methods with Inexact function and Random Derivatives for Finite-Sum Minimisation

Stefania Bellavia, Gianmarco Gurioli, Benedetta Morini +1

This paper focuses on regularisation methods using models up to the third order to search for up to second-order critical points of a finite-sum minimisation problem. The variant p…

math.OC2020

Adaptive Regularization for Nonconvex Optimization Using Inexact Function Values and Randomly Perturbed Derivatives

S. Bellavia, G. Gurioli, B. Morini +1

A regularization algorithm allowing random noise in derivatives and inexact function values is proposed for computing approximate local critical points of any order for smooth unco…

math.OC20203 cited

Strong Evaluation Complexity Bounds for Arbitrary-Order Optimization of Nonconvex Nonsmooth Composite Functions

Coralia Cartis, Nick Gould, Philippe L. Toint

We introduce the concept of strong high-order approximate minimizers for nonconvex optimization problems. These apply in both standard smooth and composite non-smooth settings, and…

math.OC2020

Exploiting problem structure in derivative free optimization

Margherita Porcelli, Philippe L. Toint

A structured version of derivative-free random pattern search optimization algorithms is introduced which is able to exploit coordinate partially separable structure (typically ass…

math.OC2019

An algorithm for optimization with disjoint linear constraints and its application for predicting rain

Tijana Janjic, Yvonne Ruckstuhl, Philippe L. Toint

A specialized algorithm for quadratic optimization (QO, or, formerly, QP) with disjoint linear constraints is presented. In the considered class of problems, a subset of variables…