Stochastic subspace correction in Hilbert space
Stochastic subspace correction in Hilbert space
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dc.contributor.author | Griebel, Michael | |
dc.contributor.author | Oswald, Peter | |
dc.date.accessioned | 2024-08-13T14:11:11Z | |
dc.date.available | 2024-08-13T14:11:11Z | |
dc.date.issued | 11.2017 | |
dc.identifier.uri | https://hdl.handle.net/20.500.11811/11828 | |
dc.description.abstract | We consider an incremental approximation method for solving variational problems in infinite-dimensional separable Hilbert spaces, where in each step a randomly and independently selected subproblem from an infinite collection of subproblems is solved. We show that convergence rates for the expectation of the squared error can be guaranteed under weaker conditions than previously established in [9]. | en |
dc.format.extent | 17 | |
dc.language.iso | eng | |
dc.relation.ispartofseries | INS Preprints ; 1717 | |
dc.rights | In Copyright | |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | infinite space splitting | |
dc.subject | subspace correction | |
dc.subject | multiplicative Schwarz | |
dc.subject | block coordinate descent | |
dc.subject | greedy | |
dc.subject | randomized | |
dc.subject | convergence rates | |
dc.subject | online learning | |
dc.subject.ddc | 510 Mathematik | |
dc.subject.ddc | 518 Numerische Analysis | |
dc.title | Stochastic subspace correction in Hilbert space | |
dc.type | Preprint | |
dc.publisher.name | Institut für Numerische Simulation (INS) | |
dc.publisher.location | Bonn | |
dc.rights.accessRights | openAccess | |
dc.relation.doi | https://doi.org/10.1007/s00365-018-9447-1 | |
ulbbn.pubtype | Zweitveröffentlichung | |
dcterms.bibliographicCitation.url | https://ins.uni-bonn.de/publication/preprints |
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