Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse

Detalhes bibliográficos
Autor(a) principal: CARLOS ANDRES GAMBOA RODRIGUEZ
Data de Publicação: 2017
Tipo de documento: Dissertação
Título da fonte: Portal de Dados Abertos da CAPES
id BRCRIS_2411e832c6b155aa44790c7931438549
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse
title Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse
spellingShingle Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse
Partition-based method
Método de Cenários (SAA)
CARLOS ANDRES GAMBOA RODRIGUEZ
title_short Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse
title_full Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse
title_fullStr Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse
Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse
title_full_unstemmed Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse
Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse
title_sort Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse
topic Partition-based method
Método de Cenários (SAA)
publishDate 2017
format masterThesis
author_role author
author CARLOS ANDRES GAMBOA RODRIGUEZ
author_facet CARLOS ANDRES GAMBOA RODRIGUEZ
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9184698156918955
dc.identifier.orcid.none.fl_str_mv https://orcid.org/0000-0002-0672-8161
dc.contributor.advisor1.fl_str_mv DAVI MICHEL VALLADAO
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/7568648387585192
dc.contributor.advisor1orcid.por.fl_str_mv https://orcid.org/0000000210846881
dc.publisher.none.fl_str_mv PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
publisher.none.fl_str_mv PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
instname_str PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
dc.publisher.program.fl_str_mv ENGENHARIA DE PRODUÇÃO
dc.description.course.none.fl_txt_mv ENGENHARIA DE PRODUÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESPartition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete RecoursePartition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete RecoursePartition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete RecoursePartition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete RecoursePartition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete RecoursePartition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete RecoursePartition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete RecoursePartition-based method2017masterThesisauthorCARLOS ANDRES GAMBOA RODRIGUEZhttp://lattes.cnpq.br/9184698156918955https://orcid.org/0000-0002-0672-8161DAVI MICHEL VALLADAOhttp://lattes.cnpq.br/7568648387585192https://orcid.org/0000000210846881PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROPONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROPONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROENGENHARIA DE PRODUÇÃOENGENHARIA DE PRODUÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv RODRIGUEZ, CARLOS ANDRES GAMBOA. Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse. 2017. Tese.
dc.identifier.citation.fl_str_mv RODRIGUEZ, CARLOS ANDRES GAMBOA. Partition-based Method for Two-Stage Stochastic Linear Programming Problems with Complete Recourse. 2017. Tese.
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