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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

On second-order optimality conditions in nonlinear optimization

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Author(s):
Andreani, Roberto ; Behling, Roger ; Haeser, Gabriel ; Silva, Paulo J. S.
Total Authors: 4
Document type: Journal article
Source: OPTIMIZATION METHODS & SOFTWARE; v. 32, n. 1, p. 22-38, FEB 2017.
Web of Science Citations: 3
Abstract

In this work we present new weak conditions that ensure the validity of necessary second-order optimality conditions (SOC) for nonlinear optimization. We are able to prove that weak and strong SOCs hold for all Lagrange multipliers using Abadie-type assumptions. We also prove weak and strong SOCs for at least one Lagrange multiplier imposing the Mangasarian-Fromovitz constraint qualification and a weak constant rank assumption. (AU)

FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 13/05475-7 - Computational methods in optimization
Grantee:Sandra Augusta Santos
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 12/20339-0 - Penalty methods, optimality conditions, and applications
Grantee:Paulo José da Silva e Silva
Support Opportunities: Regular Research Grants
FAPESP's process: 10/19720-5 - Optimality conditions and inexact restoration
Grantee:Gabriel Haeser
Support Opportunities: Research Grants - Young Investigators Grants