De Gruyter Proceedings in Mathematics Mathematical Optimization for Machine Learning
Prijzen vanaf
VERGELIJK ALLE AANBIEDERS
(2)
Bol
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.
Lees meer
108,41
Uitgelicht
|
108,41 |
Naar shop
|
|
157,00 |
Naar shop
|
Beschrijving
Bol
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.
Beschrijving
(2)
Bol
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.
AmazonPages: 212, Edition: 1 armband, Hardcover, de Gruyter
Productspecificaties
Gerelateerde producten
Uitgelichte Keuze
108,41
