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2018
Journal Article
Titel

Stochastic subspace correction in hilbert space

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 Griebel and Oswald (Constr Approx 44(1):121-139, 2016).
Author(s)
Griebel, Michael
Oswald, Peter
Zeitschrift
Constructive approximation
Project(s)
EXAHD
Funder
Deutsche Forschungsgemeinschaft DFG
Deutsche Forschungsgemeinschaft DFG
Thumbnail Image
DOI
10.1007/s00365-018-9447-1
Language
English
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Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI
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