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Mathematical Optimization for Machine Learning
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Mathematical Optimization for Machine Learning : Proceedings of the MATH+ Thematic Einstein Semester 2023

Book Details

Format Hardback
ISBN-10 3111375854
ISBN-13 9783111375854
Publisher De Gruyter
Imprint De Gruyter
Country of Manufacture GB
Country of Publication GB
Publication Date May 6th, 2025
Print length 212 Pages
Weight 485 grams
KSh 26,200.00
Currently unavailable 0 in stock

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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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