Bokus
Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Martin Weiser - Mathematical Optimization for Machine Learning, Inbunden

Inbunden, Engelska, 2025

Mathematical Optimization for Machine Learning

Av Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Martin Weiser

2355 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning
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.
Produktinformation
  • Utgivningsdatum: 2025-05-06
  • Mått: 170 x 240 x undefined mm
  • Vikt: 485 g
  • Format: Inbunden
  • Språk: Engelska
  • Serie: De Gruyter Proceedings in Mathematics
  • Antal sidor: 212
  • Förlag: De Gruyter
  • ISBN: 9783111375854
Utforska kategorier
Betyg & recensioner

0 recensioner

Inga recensioner tillgängliga.