A scalable approach to the computation of invariant measures for high-dimensional Markovian systems

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dc.contributor.authorGerber, Susanne
dc.contributor.authorOlsson, Simon
dc.contributor.authorNoé, Frank
dc.contributor.authorHorenko, Illia
dc.date.accessioned2018-03-22T10:34:59Z
dc.date.available2018-03-22T11:34:59Z
dc.date.issued2018
dc.description.sponsorshipDFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin
dc.identifier.doihttp://doi.org/10.25358/openscience-566
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/568
dc.language.isoeng
dc.rightsCC-BY-4.0de_DE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc510 Mathematikde_DE
dc.subject.ddc510 Mathematicsen_GB
dc.titleA scalable approach to the computation of invariant measures for high-dimensional Markovian systemsen_GB
dc.typeZeitschriftenaufsatzde_DE
jgu.journal.titleScientific reports
jgu.journal.volume8
jgu.organisation.departmentFB 10 Biologie
jgu.organisation.nameJohannes Gutenberg-Universität Mainz
jgu.organisation.number7970
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.pages.alternativeArt. 1796
jgu.publisher.doi10.1038/s41598-018-19863-4
jgu.publisher.issn2045-2322
jgu.publisher.nameMacmillan Publishers Limited, part of Springer Nature
jgu.publisher.placeLondon
jgu.publisher.urihttp://dx.doi.org/10.1038/s41598-018-19863-4
jgu.publisher.year2018
jgu.rights.accessrightsopenAccess
jgu.subject.ddccode510
jgu.type.dinitypeArticle
jgu.type.resourceText
jgu.type.versionPublished versionen_GB
opus.affiliatedGerber, Susanne
opus.date.accessioned2018-03-22T10:34:59Z
opus.date.available2018-03-22T11:34:59
opus.date.modified2018-03-22T10:53:27Z
opus.identifier.opusid58018
opus.institute.number1012
opus.metadataonlyfalse
opus.organisation.stringFB 10: Biologie: Institut für Entwicklungsbiologie und Neurobiologiede_DE
opus.subject.dfgcode00-000
opus.type.contenttypeKeinede_DE
opus.type.contenttypeNoneen_GB

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