Bibliografische Daten
ISBN/EAN: 9783111375854
Sprache: Englisch
Umfang: XV, 225 S., 2 s/w Illustr., 53 farbige Illustr., 2
Einband: gebundenes Buch
Beschreibung
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.
Produktsicherheitsverordnung
Hersteller:
Walter de Gruyter GmbH
De Gruyter GmbH
productsafety@degruyterbrill.com
Genthiner Strasse 13
DE 10785 Berlin
Autorenportrait
M. Weiser, S. Pokutta, K. Sharma, ZIB, Germany; K. Fackeldey, TU Berlin; A. Kannan, D. Walter, A. Walther, Humboldt-Univ. Germany.
