Practical implementation of an interior point nonmonotone line search filter method

Here we present a primal-dual interior point nonmonotone line search filter method for nonlinear programming. The filter relies on three measures, the feasibility, the centrality and the optimality presented in the optimality conditions, considers relaxed acceptability criteria for the step size and...

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Detalhes bibliográficos
Autor principal: Costa, M. Fernanda P. (author)
Outros Autores: Fernandes, Edite Manuela da G. P. (author)
Formato: article
Idioma:eng
Publicado em: 2008
Assuntos:
Texto completo:https://hdl.handle.net/1822/17155
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/17155
Descrição
Resumo:Here we present a primal-dual interior point nonmonotone line search filter method for nonlinear programming. The filter relies on three measures, the feasibility, the centrality and the optimality presented in the optimality conditions, considers relaxed acceptability criteria for the step size and includes a feasibility restoration phase. The evaluation of the method is until now made on small problems and a comparison is provided with a merit function approach.