A globally convergent primal-dual interior-point filter method for nonlinear programming: new filter optimality measures and computational results
In this paper we prove global convergence for first and second-order stationarity points of a class of derivative-free trust-region methods for unconstrained optimization. These methods are based on the sequential minimization of linear or quadratic models built from evaluating the objective functio...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | other |
| Idioma: | eng |
| Publicado em: |
2008
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10316/11218 |
| País: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/11218 |