Learning to steer nonlinear interior-point methods
Interior-point or barrier methods handle nonlinear programs by sequentially solving barrier subprograms with a decreasing sequence of barrier parameters. The specific barrier update rule strongly influences the theoretical convergence properties as well as the practical efficiency. While many global...
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Elsevier
2019
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| Acceso en línea: | https://doaj.org/article/9c6ab9943b5b419ab8777f61af05c91c |
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