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Optimization under Uncertainty: Methods and Applications
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Optimization under Uncertainty: Methods and Applications
Optimization under Uncertainty presents a comprehensive overview of recent theoretical and computational advances in optimization under uncertainty. It places particular emphasis on scalar, vector, and set-valued optimization problems affected by uncertain data.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 3 de marzo de 2027 |
| ISBN13 | 9781041217213 |
| Editores | Taylor & Francis Ltd |
| Páginas | 256 |
| Dimensiones | 150 × 220 × 20 mm · 545 g (Peso (estimado)) |
| Editor | Daniilidis, Aris |
| Editor | Khan, Akhtar A. (Rochester Institute of Technology, New York, USA) |
| Editor | Tammer, Christiane (Martin-Luther-University Halle-Wittenberg, Germany) |
