Stochastic Gradient Methods with Preconditioned Updates
Sadiev, Abdurakhmon ; Beznosikov, Aleksandr ; Almansoori, Abdulla Jasem ; Kamzolov, Dmitry ; Tappenden, Rachael ; Takáč, Martin
- Link zu diesem Datensatz
- https://d-nb.info/1336217634
- Titel
- Stochastic Gradient Methods with Preconditioned Updates
- Art des Inhalts
- Teil eines Werks
- Verfassangaben
- by Abdurakhmon Sadiev, Aleksandr Beznosikov, Abdulla Jasem Almansoori, Dmitry Kamzolov, Rachael Tappenden, Martin Takáč
- Autor(en)
-
- Sadiev, Abdurakhmon
- Beznosikov, Aleksandr
- Almansoori, Abdulla Jasem
- Kamzolov, Dmitry
- Tappenden, Rachael
- Takáč, Martin
- Organisation(en)
-
- SpringerLink (Online service)
- Zeitliche Einordnung
- Erscheinungsdatum: 2024
- Umfang/Format
- 1 Online-Ressource.
- DOI
- 10.1007/s10957-023-02365-3
- Online
- https://doi.org/10.1007/s10957-023-02365-3
- Sprache
- eng
- Schlagwörter
-
- (lcsh)Mathematical optimization.
- (lcsh)Calculus of variations.
- (lcsh)Computer science.
- (lcsh)Mathematics.
- (lcsh)Engineering.
- (lcsh)Operations research.
- Calculus of Variations and Optimization.
- Optimization.
- Theory of Computation.
- Applications of Mathematics.
- Technology and Engineering.
- Operations Research and Decision Theory.
- Frühere/spätere Titel
-
- Enthalten in: Journal of optimization theory and applications
- Enthalten in: Journal of optimization theory and applications
- Enthalten in: Journal of optimization theory and applications
- Stand
- 20.07.2024 08:37
- Im Katalog seit
- 07.03.2026