MULTILEVEL QUASI-MONTE CARLO FOR INTERVAL ANALYSIS
Copyright policy )MULTILEVEL QUASI-MONTE CARLO FOR INTERVAL ANALYSIS
sponsorship: The authors would like to acknowledge the financial support of the Research Foundation-Flanders in the framework of the PhD fellowship strategic basic research (No. 1SD2421N) of Robin R.P. Callens and the postdoctoral grant (No. 12P359N) of Matthias G.R. Faes. Matthias G.R. Faes further acknowledges the kind support of the Alexander von Humboldt Foundation. (Research Foundation-Flanders|1SD2421N, Research Foundation-Flanders|12P359N, Alexander von Humboldt Foundation)
- KU Leuven Belgium
Mathematics, Interdisciplinary Applications, Technology, Science & Technology, uncertainty quantification, Engineering, Multidisciplinary, Engineering, multilevel quasi-Monte Carlo, Physical Sciences, ESTIMATOR, bootstrapping, interval analysis, Monte Carlo, Mathematics
Mathematics, Interdisciplinary Applications, Technology, Science & Technology, uncertainty quantification, Engineering, Multidisciplinary, Engineering, multilevel quasi-Monte Carlo, Physical Sciences, ESTIMATOR, bootstrapping, interval analysis, Monte Carlo, Mathematics
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!