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Mathematical Optimization for Machine Learning

Proceedings of the MATH+ Thematic Einstein Semester 2023

Language EnglishEnglish
Book Hardback
Book Mathematical Optimization for Machine Learning Konstantin Fackeldey
Libristo code: 47205719
Publishers De Gruyter, November 2024
Mathematical optimization and machine learning are closely related. This proceedings volume of the T... Full description
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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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About the book

Full name Mathematical Optimization for Machine Learning
Author Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Martin Weiser
Language English
Binding Book - Hardback
Date of issue 2025
Number of pages 225
EAN 9783111375854
Libristo code 47205719
Publishers De Gruyter
Weight 485
Dimensions 170 x 240

Categories

Mathematics & Science > Mathematics > Optimization
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