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: | Artigo |
| Idioma: | English |
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Elsevier
2019-12-01
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| coleção: | EURO Journal on Computational Optimization |
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| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2192440621001222 |