A CONSTRUCTIVE GLOBAL CONVERGENCE OF THE MIXED BARRIER-PENALTY METHOD FOR MATHEMATICAL OPTIMIZATION PROBLEMS

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dc.contributor.authorPorfirio Suñagua
dc.contributor.authorAurélio Ribeiro Leite de Oliveira
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T16:01:41Z
dc.date.available2026-03-22T16:01:41Z
dc.date.issued2020
dc.descriptionCitaciones: 2
dc.description.abstractIn this paper we develop a generic mixed bi-parametric barrier-penalty method based upon barrier and penalty generic algorithms for constrained nonlinear programming problems. When the feasible set is defined by equality and inequality functional constraints, it is possible to provide an explicit barrier and penalty functions. If such case, the continuity and differentiable properties of the restrictions and objective functions could be inherited to the penalized function.
dc.identifier.doi10.1590/0101-7438.2020.040.00217467
dc.identifier.urihttps://doi.org/10.1590/0101-7438.2020.040.00217467
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/55815
dc.language.isoen
dc.publisherSociedade Brasileira de Pesquisa Operacional
dc.relation.ispartofPesquisa Operacional
dc.sourceHigher University of San Andrés
dc.subjectPenalty method
dc.subjectMathematical optimization
dc.subjectSequence (biology)
dc.subjectConvergence (economics)
dc.subjectConstructive
dc.subjectDifferentiable function
dc.subjectNonlinear programming
dc.subjectMathematics
dc.subjectParametric statistics
dc.subjectNonlinear system
dc.titleA CONSTRUCTIVE GLOBAL CONVERGENCE OF THE MIXED BARRIER-PENALTY METHOD FOR MATHEMATICAL OPTIMIZATION PROBLEMS
dc.typearticle

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