General multilevel adaptations for stochastic approximation algorithms of Robbins–Monro and Polyak–Ruppert type
Work
Year: 2019
Type: article
Source: Numerische Mathematik
Institutions University of Münster, University of Passau
Cites: 16
Cited by: 21
Related to: 10
FWCI: 3.18
Citation percentile (by year/subfield): 92.29
Subfield: Numerical Analysis
Field: Mathematics
Domain: Physical Sciences
Sustainable Development Goal Zero hunger
Open Access status: closed