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Low-Rank-Tensor-Techniken im Jacobi-Davidson-Eigenwertlöser

Hennig, Rebekka-Sarah (2021) Low-Rank-Tensor-Techniken im Jacobi-Davidson-Eigenwertlöser. Master's, Universität zu Köln.

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Item URL in elib:https://elib.dlr.de/143341/
Document Type:Thesis (Master's)
Additional Information:Betreuer der Universität: Prof. Dr. Klawonn und Dr. Lanser, Betreuer am DLR: Dr. Jonas Thies und Melven Röhrig-Zöllner
Title:Low-Rank-Tensor-Techniken im Jacobi-Davidson-Eigenwertlöser
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hennig, Rebekka-SarahRebekka-Sarah.Hennig (at) dlr.deUNSPECIFIED
Date:24 February 2021
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:70
Status:Published
Keywords:Tensor-Train, Jacobi-Davidson, Eigenwertprobleme, Low-Rank, ALS
Institution:Universität zu Köln
Department:Mathematisches Institut
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Tasks SISTEC
Location: Köln-Porz
Institutes and Institutions:Institute for Software Technology > High-Performance Computing
Institute for Software Technology
Deposited By: Hennig, Rebekka-Sarah
Deposited On:04 Oct 2021 09:22
Last Modified:08 Oct 2021 11:53

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