Randomized Algorithms for Scientific Computing (RASC)

Randomized Algorithms for Scientific Computing (RASC)

Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science. Future advancements in DOE Office of Science priority areas such as climate science, astrophysics, fusion, advanced materials, combustion, and quantum comp...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:arXiv.org 2022-03
Hauptverfasser: Aydin Buluc, Kolda, Tamara G, Wild, Stefan M, Anitescu, Mihai, DeGennaro, Anthony, Jakeman, John, Kamath, Chandrika, Ramakrishnan Kannan, Lopes, Miles E, Martinsson, Per-Gunnar, Myers, Kary, Nelson, Jelani, Restrepo, Juan M, Seshadhri, C, Vrabie, Draguna, Brendt Wohlberg, Wright, Stephen J, Yang, Chao, Zwart, Peter
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Artificial intelligence
Astrophysics
Computer Science - Artificial Intelligence
Computer Science - Computational Engineering, Finance, and Science
Quantum computing
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science. Future advancements in DOE Office of Science priority areas such as climate science, astrophysics, fusion, advanced materials, combustion, and quantum computing all require randomized algorithms for surmounting challenges of complexity, robustness, and scalability. This report summarizes the outcomes of that workshop, "Randomized Algorithms for Scientific Computing (RASC)," held virtually across four days in December 2020 and January 2021.
ISSN:2331-8422
DOI:10.48550/arxiv.2104.11079