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Mathematical Optimization for Machine Learning

Proceedings of the MATH+ Thematic Einstein Semester 2023

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Mathematical Optimization for Machine Learning Konstantin Fackeldey
Libristo kod: 47205719
Nakladnici De Gruyter, studeni 2024
Mathematical optimization and machine learning are closely related. This proceedings volume of the T... Cijeli opis
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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.

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Informacije o knjizi

Puni naziv Mathematical Optimization for Machine Learning
Autor Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Martin Weiser
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 2025
Broj stranica 225
EAN 9783111375854
Libristo kod 47205719
Nakladnici De Gruyter
Težina 485
Dimenzije 170 x 240

Kategorija

Mathematics & Science > Mathematics > Optimization
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