<div class="csl-bib-body">
<div class="csl-entry">Heitzinger, C., Leumüller, M., Pammer, G., & Rigger, S. (2018). Existence, Uniqueness, and a Comparison of Nonintrusive Methods for the Stochastic Nonlinear Poisson--Boltzmann Equation. <i>SIAM/ASA Journal on Uncertainty Quantification</i>, <i>6</i>(3), 1019–1042. https://doi.org/10.1137/17m1127375</div>
</div>
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dc.identifier.issn
2166-2525
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/146109
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dc.description.abstract
The stochastic nonlinear Poisson--Boltzmann equation describes the electrostatic potential in a random environment in the presence of free charges and has applications in many fields. We show the existence and uniqueness of the solution of this nonlinear model equation and investigate its regularity with respect to a random parameter. Three popular nonintrusive methods, a stochastic Galerkin method, a discrete projection method, and a collocation method, are presented for its numerical solution.
en
dc.language.iso
en
-
dc.relation.ispartof
SIAM/ASA Journal on Uncertainty Quantification
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dc.subject
Applied Mathematics
en
dc.subject
Modeling and Simulation
en
dc.subject
Discrete Mathematics and Combinatorics
en
dc.subject
Statistics and Probability
en
dc.subject
Statistics, Probability and Uncertainty
en
dc.title
Existence, Uniqueness, and a Comparison of Nonintrusive Methods for the Stochastic Nonlinear Poisson--Boltzmann Equation
en
dc.type
Artikel
de
dc.type
Article
en
dc.contributor.affiliation
University of Vienna, Austria
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dc.description.startpage
1019
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dc.description.endpage
1042
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dc.type.category
Editorial
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tuw.container.volume
6
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tuw.container.issue
3
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
false
-
dcterms.isPartOf.title
SIAM/ASA Journal on Uncertainty Quantification
-
tuw.publication.orgunit
E101-03 - Forschungsbereich Scientific Computing and Modelling
-
tuw.publisher.doi
10.1137/17m1127375
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dc.identifier.eissn
2166-2525
-
dc.description.numberOfPages
24
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wb.sci
true
-
wb.sciencebranch
Mathematik
-
wb.sciencebranch
Physik, Astronomie
-
wb.sciencebranch.oefos
1010
-
wb.sciencebranch.oefos
1030
-
wb.facultyfocus
Analysis und Scientific Computing
de
wb.facultyfocus
Analysis and Scientific Computing
en
wb.facultyfocus.faculty
E100
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item.openairetype
editorial
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item.languageiso639-1
en
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item.cerifentitytype
Publications
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item.fulltext
no Fulltext
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item.grantfulltext
none
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item.openairecristype
http://purl.org/coar/resource_type/c_b239
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crisitem.author.dept
E194-06 - Forschungsbereich Machine Learning
-
crisitem.author.dept
E101-03 - Forschungsbereich Scientific Computing and Modelling
-
crisitem.author.dept
E101-01 - Forschungsbereich Analysis
-
crisitem.author.dept
University of Vienna
-
crisitem.author.orcid
0000-0001-7431-3390
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crisitem.author.parentorg
E194 - Institut für Information Systems Engineering
-
crisitem.author.parentorg
E101 - Institut für Analysis und Scientific Computing
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crisitem.author.parentorg
E101 - Institut für Analysis und Scientific Computing