On global optimization with indefinite quadratics
We present an algorithmic framework for global optimization problems in which the non-convexity is manifested as an indefinite-quadratic as part of the objective function. Our solution approach consists of applying a spatial branch-and-bound algorithm, exploiting convexity as much as possible, not o...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2017
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/32e24a8df238414eb7b2fde88fb79020 |
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