Mathematical Optimization for Machine Learning
- Konstantin Fackeldey
- Aswin Kannan
- Sebastian Pokutta
- Kartikey Sharma
- Daniel Walter
- Andrea Walther
- Martin Weiser
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Know about the book -
Mathematical Optimization for Machine Learning is written by Konstantin Fackeldey and published by Walter de Gruyter GmbH & Co KG. It's available with International Standard Book Number or ISBN identification 311137677X (ISBN 10) and 9783111376776 (ISBN 13).
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.
