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.
Over de auteur
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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Taal Engels ● Formaat EPUB ● Pagina’s 212 ● ISBN 9783111377742 ● Bestandsgrootte 15.0 MB ● Editor Konstantin Fackeldey & Aswin Kannan ● Uitgeverij De Gruyter ● Stad Berlin/Boston ● Gepubliceerd 2025 ● Editie 1 ● Downloadbare 24 maanden ● Valuta EUR ● ID 10241136 ● Kopieerbeveiliging Adobe DRM
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