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Optimization under Uncertainty: Methods and Applications
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.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | March 3, 2027 |
| ISBN13 | 9781041217213 |
| Publishers | Taylor & Francis Ltd |
| Pages | 256 |
| Dimensions | 150 × 220 × 20 mm · 545 g (Weight (estimated)) |
| Editor | Daniilidis, Aris |
| Editor | Khan, Akhtar A. (Rochester Institute of Technology, New York, USA) |
| Editor | Tammer, Christiane (Martin-Luther-University Halle-Wittenberg, Germany) |