Inbunden, Engelska, 2025
Mathematical Optimization for Machine Learning
Av Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Martin Weiser
2355 kr
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Beskrivning
Mathematical optimization and machine learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discrete optimization, nonlinear programming, optimal control, first-order methods, multilevel optimization, machine learning in optimization, physics-informed learning, and fairness in machine learning.
Produktinformation
- Utgivningsdatum: 2025-05-06
- Mått: 170 x 240 x undefined mm
- Vikt: 485 g
- Format: Inbunden
- Språk: Engelska
- Serie: De Gruyter Proceedings in Mathematics
- Antal sidor: 212
- Förlag: De Gruyter
- ISBN: 9783111375854
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