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Konstantin Fackeldey & Aswin Kannan
Mathematical Optimization for Machine Learning [EPUB ebook]
Proceedings of the MATH+ Thematic Einstein Semester 2023

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Cover of Konstantin Fackeldey & Aswin Kannan: Mathematical Optimization for Machine Learning (ePUB)

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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About the author

M. Weiser, S. Pokutta, K. Sharma, ZIB, Germany; K. Fackeldey, TU Berlin; A. Kannan, D. Walter, A. Walther, Humboldt-Univ. Germany.

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Language English ● Format EPUB ● Pages 212 ● ISBN 9783111377742 ● File size 15.0 MB ● Editor Konstantin Fackeldey & Aswin Kannan ● Publisher De Gruyter ● City Berlin/Boston ● Published 2025 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 10241136 ● Copy protection Adobe DRM

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Konstantin Fackeldey Aswin Kannan Sebastian Pokutta Kartikey Sharma Daniel Walter Andrea Walther Martin Weiser

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