Nick I. M. Gould - researchr alias

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Viewing Publication 1 - 8 from 8

2020

A concise second-order complexity analysis for unconstrained optimization using high-order regularized modelsCoralia Cartis, Nick I. M. Gould, Philippe L. Toint. oms, 35(2):243-256, 2020. [doi]

2019

Universal Regularization Methods: Varying the Power, the Smoothness and the AccuracyCoralia Cartis, Nick I. M. Gould, Philippe L. Toint. siamjo, 29(1):595-615, 2019. [doi]

2018

Second-Order Optimality and Beyond: Characterization and Evaluation Complexity in Convexly Constrained Nonlinear OptimizationCoralia Cartis, Nick I. M. Gould, Philippe L. Toint. focm, 18(5):1073-1107, 2018. [doi]

2012

Erratum to: Nonlinear programming without a penalty function or a filterNick I. M. Gould, Philippe L. Toint. mp, 131(1-2):403-404, 2012. [doi]

2005

A Filter-Trust-Region Method for Unconstrained OptimizationNick I. M. Gould, Caroline Sainvitu, Philippe L. Toint. siamjo, 16(2):341-357, 2005. [doi]

1996

Convergence Properties of Minimization Algorithms for Convex Constraints Using a Structured Trust RegionAndrew R. Conn, Nick I. M. Gould, Annick Sartenaer, Philippe L. Toint. siamjo, 6(4):1059-1086, 1996. [doi]

1993

Global Convergence of a Class of Trust Region Algorithms for Optimization Using Inexact Projections on Convex ConstraintsAndrew R. Conn, Nick I. M. Gould, Annick Sartenaer, Philippe L. Toint. siamjo, 3(1):164-221, 1993. [doi]

1990

5 Algorithms for In-Core Factorization of Sparse MatricesMario Arioli, Iain S. Duff, Nick I. M. Gould, John K. Reid. siamsc, 11(5):913-927, 1990. [doi]

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