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  Fast Solution of the Linearized Poisson-Boltzmann Equation with nonaffine Parametrized Boundary Conditions Using the Reduced Basis Method

Benner, P., Feng, L., Kweyu, C. M., & Stein, M. (2020). Fast Solution of the Linearized Poisson-Boltzmann Equation with nonaffine Parametrized Boundary Conditions Using the Reduced Basis Method. Computing and Visualization in Science, 23: 15, 19 pages. doi:10.1007/s00791-020-00336-z.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-2E32-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0007-4A21-1
Genre: Journal Article

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Open AccessThis article is licensed under a Creative CommonsAttribution 4.0 International License, which permits use, sharing, adap-tation, distribution and reproduction in any medium or format, aslong as you give appropriate credit to the original author(s) and thesource, provide a link to the Creative Commons licence, and indi-cate if changes were made. The images or other third party materialin this article are included in the article’s Creative Commons licence,unless indicated otherwise in a credit line to the material. If materialis not included in the article’s Creative Commons licence and yourintended use is not permitted by statutory regulation or exceeds thepermitteduse,youwillneedtoobtainpermissiondirectlyfromthecopy-right holder.

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 Creators:
Benner, Peter1, Author              
Feng, Lihong1, Author              
Kweyu, Cleophas M.1, 2, Author              
Stein, Matthias3, Author              
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143              
3Molecular Simulations and Design, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738148              

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 Dates: 2017-05-232020
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: arXiv: 1705.08349
URI: http://arxiv.org/abs/1705.08349
DOI: 10.1007/s00791-020-00336-z
Other: data_escidoc:2474789
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Title: Computing and Visualization in Science
Source Genre: Journal
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Publ. Info: Springer-Verlag Germany
Pages: - Volume / Issue: 23 Sequence Number: 15, 19 pages Start / End Page: - Identifier: ISSN: 1432-9360
CoNE: https://pure.mpg.de/cone/journals/resource/954933110379