\( \varepsilon \)-superposition and truncation dimensions in average and probabilistic settings for \(\infty \)-variate linear problems

DOI10.1016/j.jco.2019.101439zbMath1431.65013OpenAlexW2945849572MaRDI QIDQ2303418

J. Dingess, Grzegorz W. Wasilkowski

Publication date: 3 March 2020

Published in: Journal of Complexity (Search for Journal in Brave)

Full work available at URL: https://uknowledge.uky.edu/cs_etds/81

zbMATH Keywords

average and probabilistic settingsefficient dimensionsinfinite-variate problems

Mathematics Subject Classification ID

Multidimensional problems (41A63) Algorithms for approximation of functions (65D15)

Related Items (1)

Quasi-Monte Carlo and \(\varepsilon\)-truncation dimension in ANOVA spaces

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