An algorithm of feasible directions to mixed nonlinear complementarity problems and applications

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This work investigates the Feasible Direction Algorithm using interior points applied to the Mixed Nonlinear Complementarity Problem and some applications. This algorithm is based in Feasible Directions Algorithm for Nonlinear Complementarity Problem, which is described briefly. The proposed algorit...

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Detalles Bibliográficos
Autor: Ramírez Gutiérrez, Ángel Enrique
Formato: tesis doctoral
Fecha de Publicación:2017
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/1945
Enlace del recurso:https://hdl.handle.net/20.500.12390/1945
Nivel de acceso:acceso abierto
Materia:Complementariedad no lineal mixta
Algoritmo de direcciones factibles
https://purl.org/pe-repo/ocde/ford#1.01.02
id CONC_d0a1a95bdfefafc2f1c4fe285fd8b39b
oai_identifier_str oai:repositorio.concytec.gob.pe:20.500.12390/1945
network_acronym_str CONC
network_name_str CONCYTEC-Institucional
repository_id_str 4689
dc.title.none.fl_str_mv An algorithm of feasible directions to mixed nonlinear complementarity problems and applications
title An algorithm of feasible directions to mixed nonlinear complementarity problems and applications
spellingShingle An algorithm of feasible directions to mixed nonlinear complementarity problems and applications
Ramírez Gutiérrez, Ángel Enrique
Complementariedad no lineal mixta
Algoritmo de direcciones factibles
https://purl.org/pe-repo/ocde/ford#1.01.02
title_short An algorithm of feasible directions to mixed nonlinear complementarity problems and applications
title_full An algorithm of feasible directions to mixed nonlinear complementarity problems and applications
title_fullStr An algorithm of feasible directions to mixed nonlinear complementarity problems and applications
title_full_unstemmed An algorithm of feasible directions to mixed nonlinear complementarity problems and applications
title_sort An algorithm of feasible directions to mixed nonlinear complementarity problems and applications
author Ramírez Gutiérrez, Ángel Enrique
author_facet Ramírez Gutiérrez, Ángel Enrique
author_role author
dc.contributor.author.fl_str_mv Ramírez Gutiérrez, Ángel Enrique
Ramírez Gutiérrez, Ángel Enrique
dc.subject.none.fl_str_mv Complementariedad no lineal mixta
topic Complementariedad no lineal mixta
Algoritmo de direcciones factibles
https://purl.org/pe-repo/ocde/ford#1.01.02
dc.subject.es_PE.fl_str_mv Algoritmo de direcciones factibles
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.01.02
description This work investigates the Feasible Direction Algorithm using interior points applied to the Mixed Nonlinear Complementarity Problem and some applications. This algorithm is based in Feasible Directions Algorithm for Nonlinear Complementarity Problem, which is described briefly. The proposed algorithm is important because many mathematical models can be written as mixed nonlinear complementarity problem. The principal idea of this algorithm is to generate, at each iteration, a sequence of feasible directions with respect to the region, defined by the inequality conditions, which are also monotonic descent directions for one potential function. Then, an approximate line search along this direction is performed in order to define the next iteration. Global and asymptotic convergence properties for the algorithm are proved. In order to validade the robustness the algorithm is tested on several benchmark problems, that were found in the literature, considering the same para- meters. In this work one dimensional models describing Oxygen Diffusion inside one cell and In Situ Combustion are also presented together with bidimensional model of the Elastic-Plastic Torsion Problem. These models are re-written as nonlinear com¬plementarity problem and mixed nonlinear complementarity problem. These new formulations are discretized by Finite Diference Scheme or Finite Element Method and, for its discrete forms, the algorithm will be applied. The numerical results are compared with direct numerical simulation using Newton’s method (in the case of Oxygen Diffusion and In Situ Combustion) or exact solution (in the case of Elastic- Plastic Torsion Problem). It is shown that the obtained results are in good agreement with the asymptotic analysis. For the In situ combustion model the corresponding Riemann’s problem is studied in order to validate numerical solutions.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/1945
url https://hdl.handle.net/20.500.12390/1945
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.publisher.none.fl_str_mv Universidad Nacional de Ingeniería
publisher.none.fl_str_mv Universidad Nacional de Ingeniería
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
_version_ 1844883005793894400
spelling Publicationrp04963600rp04963600Ramírez Gutiérrez, Ángel EnriqueRamírez Gutiérrez, Ángel Enrique2024-05-30T23:13:38Z2024-05-30T23:13:38Z2017https://hdl.handle.net/20.500.12390/1945This work investigates the Feasible Direction Algorithm using interior points applied to the Mixed Nonlinear Complementarity Problem and some applications. This algorithm is based in Feasible Directions Algorithm for Nonlinear Complementarity Problem, which is described briefly. The proposed algorithm is important because many mathematical models can be written as mixed nonlinear complementarity problem. The principal idea of this algorithm is to generate, at each iteration, a sequence of feasible directions with respect to the region, defined by the inequality conditions, which are also monotonic descent directions for one potential function. Then, an approximate line search along this direction is performed in order to define the next iteration. Global and asymptotic convergence properties for the algorithm are proved. In order to validade the robustness the algorithm is tested on several benchmark problems, that were found in the literature, considering the same para- meters. In this work one dimensional models describing Oxygen Diffusion inside one cell and In Situ Combustion are also presented together with bidimensional model of the Elastic-Plastic Torsion Problem. These models are re-written as nonlinear com¬plementarity problem and mixed nonlinear complementarity problem. These new formulations are discretized by Finite Diference Scheme or Finite Element Method and, for its discrete forms, the algorithm will be applied. The numerical results are compared with direct numerical simulation using Newton’s method (in the case of Oxygen Diffusion and In Situ Combustion) or exact solution (in the case of Elastic- Plastic Torsion Problem). It is shown that the obtained results are in good agreement with the asymptotic analysis. For the In situ combustion model the corresponding Riemann’s problem is studied in order to validate numerical solutions.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengUniversidad Nacional de Ingenieríainfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/Complementariedad no lineal mixtaAlgoritmo de direcciones factibles-1https://purl.org/pe-repo/ocde/ford#1.01.02-1An algorithm of feasible directions to mixed nonlinear complementarity problems and applicationsinfo:eu-repo/semantics/doctoralThesisreponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC#PLACEHOLDER_PARENT_METADATA_VALUE#20.500.12390/1945oai:repositorio.concytec.gob.pe:20.500.12390/19452024-05-30 15:24:09.649https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="9a3406b5-f799-4456-8cd1-4c1b1fc21ba5"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>An algorithm of feasible directions to mixed nonlinear complementarity problems and applications</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2017</PublicationDate> <Authors> <Author> <DisplayName>Ramírez Gutiérrez, Ángel Enrique</DisplayName> <Person id="rp04963" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Ramírez Gutiérrez, Ángel Enrique</DisplayName> <Person id="rp04963" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Universidad Nacional de Ingeniería</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by-nc-nd/4.0/</License> <Keyword>Complementariedad no lineal mixta</Keyword> <Keyword>Algoritmo de direcciones factibles</Keyword> <Abstract>This work investigates the Feasible Direction Algorithm using interior points applied to the Mixed Nonlinear Complementarity Problem and some applications. This algorithm is based in Feasible Directions Algorithm for Nonlinear Complementarity Problem, which is described briefly. The proposed algorithm is important because many mathematical models can be written as mixed nonlinear complementarity problem. The principal idea of this algorithm is to generate, at each iteration, a sequence of feasible directions with respect to the region, defined by the inequality conditions, which are also monotonic descent directions for one potential function. Then, an approximate line search along this direction is performed in order to define the next iteration. Global and asymptotic convergence properties for the algorithm are proved. In order to validade the robustness the algorithm is tested on several benchmark problems, that were found in the literature, considering the same para- meters. In this work one dimensional models describing Oxygen Diffusion inside one cell and In Situ Combustion are also presented together with bidimensional model of the Elastic-Plastic Torsion Problem. These models are re-written as nonlinear com¬plementarity problem and mixed nonlinear complementarity problem. These new formulations are discretized by Finite Diference Scheme or Finite Element Method and, for its discrete forms, the algorithm will be applied. The numerical results are compared with direct numerical simulation using Newton’s method (in the case of Oxygen Diffusion and In Situ Combustion) or exact solution (in the case of Elastic- Plastic Torsion Problem). It is shown that the obtained results are in good agreement with the asymptotic analysis. For the In situ combustion model the corresponding Riemann’s problem is studied in order to validate numerical solutions.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
score 13.243185
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