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Constant rank-type constraint qualifications and second-order optimality conditions

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Author(s):
Thiago Parente da Silveira
Total Authors: 1
Document type: Doctoral Thesis
Press: São Paulo.
Institution: Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME/SBI)
Defense date:
Examining board members:
Gabriel Haeser; Roberto Andreani; Mituhiro Fukuda; Flávia Morgana de Oliveira Jacinto; Roberto Cristóvão Mesquita Silva
Advisor: Gabriel Haeser; Hector Ariel Ramirez Cabrera
Abstract

The constant rank constraint qualification, introduced by Janin in [Math. Program. Study 21:110-126, 1984], has been shown very robust in diverse applications, such as global convergence of algorithms, second-order optimality conditions, computing the derivative of the value function, and stability analysis, but always in the nonlinear programming context. In this thesis, we propose different approaches to defining a constant rank-type constraint qualification for nonlinear second-order cone programming problems, that may be based either on the sequential optimality condition and then provide global convergence of an augmented Lagrangian algorithm, or a sequential approach based on the eigenvectors structure of the second-order cone and then get global convergence of algorithms based on an external penalty method, or a classical approach based on a constant rank theorem and then guarantees second-order necessary optimality condition based on the critical cone and holds for any Lagrange multiplier. (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