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Convergence, optimality conditions and properties on algorithms for non-linear programming problems

Grant number: 09/00865-6
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): May 01, 2009
Effective date (End): April 30, 2012
Field of knowledge:Physical Sciences and Mathematics - Mathematics - Applied Mathematics
Principal researcher:José Mário Martinez Perez
Grantee:Leandro da Fonseca Prudente
Home Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:06/53768-0 - Computational methods of optimization, AP.TEM

Abstract

The object of the non-linear programming is the problem of minimizing a continuous function with restrictions given by equations and inequalities in general nonlinear. The theory of convergence of many popular and efficient algorithms can be considered incomplete. In this paper we propose the formulation and resolution of specific questions related to these algorithms. (AU)

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Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
PRUDENTE, Leandro da Fonseca. Infeasibility in augmented lagrangian methods. 2012. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Instituto de Matemática, Estatística e Computação Científica.

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