TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publications
  4. Global masters in parallel condensation of eigenvalue problems
 
Options

Global masters in parallel condensation of eigenvalue problems

Citation Link: https://doi.org/10.15480/882.171
Publikationstyp
Technical Report
Date Issued
1999-08
Sprache
English
Author(s)
Hofferek, Birgit  
Pelzer, Andreas  
Voß, Heinrich 
Institut
Mathematik E-10  
TORE-DOI
10.15480/882.171
TORE-URI
http://tubdok.tub.tuhh.de/handle/11420/173
First published in
Preprints des Institutes für Mathematik  
Number in series
31
In the dynamic analysis of structures condensation methods are often used to reduce the number of degrees of freedom to manageable size. Substructuring and choosing the master variables as the degrees of freedom on the interfaces of the substructures yields data structures which are well suited to be implemented on parallel computers. This paper discusses a parallel condensation method in the presence of generalized global masters which are obtained in reanalysis or from prolongation of coarse grid approximations.
Subjects
generalized eigenvalue problem
condensation
parallel method
global masters
DDC Class
510: Mathematik
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
Loading...
Thumbnail Image
Name

rep31.pdf

Size

783.76 KB

Format

Adobe PDF

TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback