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. In addition, the volume showcases a wide range of impactful applications, including inverse and control problems, variational inequalities, equilibrium models, network systems, and real-world challenges in engineering and biomedical sciences.
Features
- The book explores diverse applications, including inverse and control problems, medical imaging, equilibrium models, variational inequalities, and mechanical systems
- Thematic review chapters offer readers an in-depth understanding of key developments in the field
- Contributions from world-renowned researchers offer both expertise and high-quality insights.
Produkteigenschaften
- Artikelnummer: 9781041217213
- Medium: Buch
- ISBN: 978-1-041-21721-3
- Verlag: Taylor & Francis Ltd
- Erscheinungstermin: 03.03.2027
- Sprache(n): Englisch
- Auflage: 1. Auflage 2027
- Produktform: Gebunden
- Seiten: 256
- Format (B x H): 178 x 254 mm
- Ausgabetyp: Kein, Unbekannt
