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1 Ergebnisse
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A machine learning pipeline for autonomous numerical analyt..:
Windisch Andreas
;
Gallien Thomas
;
Schwarzlmüller Christopher
https://www.epj-conferences.org/articles/epjconf/pdf/2022/02/epjconf_vconf2021_09003.pdf. , 2022
Link:
https://doi.org/10.1051/epjconf/202225809003
RT Journal T1 <Title>A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:ef5ec27e29a94f779ad969a46493800e&Exemplar=1&LAN=DE A1 Windisch Andreas A1 Gallien Thomas A1 Schwarzlmüller Christopher PB EDP Sciences YR 2022 K1 Physics K1 QC1-999 JF https://www.epj-conferences.org/articles/epjconf/pdf/2022/02/epjconf_vconf2021_09003.pdf LK http://dx.doi.org/https://doi.org/10.1051/epjconf/202225809003 DO https://doi.org/10.1051/epjconf/202225809003 SF ELIB - SuUB Bremen
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