Local analysis of the feasible primal-dual interior-point method

Detalhes bibliográficos
Autor(a) principal: Silva, R.
Data de Publicação: 2008
Outros Autores: Soares, J., Vicente, L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/7717
https://doi.org/10.1007/s10589-007-9075-3
Resumo: Abstract In this paper we analyze the rate of local convergence of the Newton primal-dual interior-point method when the iterates are kept strictly feasible with respect to the inequality constraints. It is shown under the classical conditions that the rate is q-quadratic when the functions associated to the binding inequality constraints are concave. In general, the q-quadratic rate is achieved provided the step in the primal variables does not become asymptotically orthogonal to any of the gradients of the binding inequality constraints. Some preliminary numerical experience showed that the feasible method can be implemented in a relatively efficient way, requiring a reduced number of function and derivative evaluations. Moreover, the feasible method is competitive with the classical infeasible primal-dual interior-point method in terms of number of iterations and robustness.
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spelling Local analysis of the feasible primal-dual interior-point methodAbstract In this paper we analyze the rate of local convergence of the Newton primal-dual interior-point method when the iterates are kept strictly feasible with respect to the inequality constraints. It is shown under the classical conditions that the rate is q-quadratic when the functions associated to the binding inequality constraints are concave. In general, the q-quadratic rate is achieved provided the step in the primal variables does not become asymptotically orthogonal to any of the gradients of the binding inequality constraints. Some preliminary numerical experience showed that the feasible method can be implemented in a relatively efficient way, requiring a reduced number of function and derivative evaluations. Moreover, the feasible method is competitive with the classical infeasible primal-dual interior-point method in terms of number of iterations and robustness.2008info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/7717http://hdl.handle.net/10316/7717https://doi.org/10.1007/s10589-007-9075-3engComputational Optimization and Applications. 40:1 (2008) 41-57Silva, R.Soares, J.Vicente, L.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2021-11-09T10:26:27ZPortal AgregadorONG
dc.title.none.fl_str_mv Local analysis of the feasible primal-dual interior-point method
title Local analysis of the feasible primal-dual interior-point method
spellingShingle Local analysis of the feasible primal-dual interior-point method
Silva, R.
title_short Local analysis of the feasible primal-dual interior-point method
title_full Local analysis of the feasible primal-dual interior-point method
title_fullStr Local analysis of the feasible primal-dual interior-point method
title_full_unstemmed Local analysis of the feasible primal-dual interior-point method
title_sort Local analysis of the feasible primal-dual interior-point method
author Silva, R.
author_facet Silva, R.
Soares, J.
Vicente, L.
author_role author
author2 Soares, J.
Vicente, L.
author2_role author
author
dc.contributor.author.fl_str_mv Silva, R.
Soares, J.
Vicente, L.
description Abstract In this paper we analyze the rate of local convergence of the Newton primal-dual interior-point method when the iterates are kept strictly feasible with respect to the inequality constraints. It is shown under the classical conditions that the rate is q-quadratic when the functions associated to the binding inequality constraints are concave. In general, the q-quadratic rate is achieved provided the step in the primal variables does not become asymptotically orthogonal to any of the gradients of the binding inequality constraints. Some preliminary numerical experience showed that the feasible method can be implemented in a relatively efficient way, requiring a reduced number of function and derivative evaluations. Moreover, the feasible method is competitive with the classical infeasible primal-dual interior-point method in terms of number of iterations and robustness.
publishDate 2008
dc.date.none.fl_str_mv 2008
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/7717
http://hdl.handle.net/10316/7717
https://doi.org/10.1007/s10589-007-9075-3
url http://hdl.handle.net/10316/7717
https://doi.org/10.1007/s10589-007-9075-3
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computational Optimization and Applications. 40:1 (2008) 41-57
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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