An Adaptive Algorithm Employing Continuous Linear Functionals

DOI10.1007/978-3-030-43465-6_8OpenAlexW3022789082MaRDI QIDQ5117927

Fred J. Hickernell, Lluís Antoni Jiménez Rugama, Yuhan Ding

Publication date: 26 August 2020

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1809.10567

zbMATH Keywords

Fourier coefficientsadaptive algorithmscones of input functionsessentially optimal

Mathematics Subject Classification ID

Monte Carlo methods (65C05)

Cites Work

• Solvable integration problems and optimal sample size selection
• The cost of deterministic, adaptive, automatic algorithms: cones, not balls
• Monte Carlo and quasi-Monte Carlo methods 2012. Proceedings of the 10th international conference on `Monte Carlo and quasi-Monte Carlo methods in scientific computing', Sydney, Australia, February 13--17, 2012
• Reliable Adaptive Cubature Using Digital Sequences
• Adaptive Multidimensional Integration Based on Rank-1 Lattices
• Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan

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