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First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition

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Author(s):
Andreani, Roberto ; Haeser, Gabriel ; Mito, Leonardo M. ; Ramirez, Hector ; Silveira, Thiago P.
Total Authors: 5
Document type: Journal article
Source: MATHEMATICAL PROGRAMMING; v. N/A, p. 41-pg., 2023-03-23.
Abstract

The well known constant rank constraint qualification [Math. Program. Study 21:110-126, 1984] introduced by Janin for nonlinear programming has been recently extended to a conic context by exploiting the eigenvector structure of the problem. In this paper we propose a more general and geometric approach for defining a new extension of this condition to the conic context. The main advantage of our approach is that we are able to recast the strong second-order properties of the constant rank condition in a conic context. In particular, we obtain a second-order necessary optimality condition that is stronger than the classical one obtained under Robinson's constraint qualification, in the sense that it holds for every Lagrange multiplier, even though our condition is independent of Robinson's condition. (AU)

FAPESP's process: 17/12187-9 - Second-order algorithms for nonlinear optimization with strong optimality properties
Grantee:Thiago Parente da Silveira
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 18/24293-0 - Computational methods in optimization
Grantee:Sandra Augusta Santos
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 20/00130-5 - Second-order optimality conditions for nonlinear programming
Grantee:Thiago Parente da Silveira
Support Opportunities: Scholarships abroad - Research Internship - Doctorate
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: 17/18308-2 - Second-order optimality conditions and algorithms
Grantee:Gabriel Haeser
Support Opportunities: Regular Research Grants
FAPESP's process: 17/17840-2 - Error estimation in nonlinear optimization
Grantee:Leonardo Makoto Mito
Support Opportunities: Scholarships in Brazil - Doctorate