Efficiency of Quasi-Monte Carlo Algorithms for High Dimensional Integrals
By Henryk Wozniakowski. 2000
48 citations recorded by the source corpus.
Subfields: Applied Mathematics, Numerical Analysis, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/1199d94d379e2ecc553189e559ca7b3087ac170b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Friedrich Pillichshammer
- Josef Dick
- Erich Novak
- Henryk Wozniakowski
- Rémi Bardenet
- Alireza Doostan
- Adrien Hardy
- Mohammad Hadigol
In Numerical Analysis
- Friedrich Pillichshammer
- Josef Dick
- Erich Novak
- Henryk Wozniakowski
- Chris J. Oates
- Mark A. Girolami
- Tino Ullrich
- Vladimir N. Temlyakov
In Statistics and Probability
Citations in the corpus
- Tractability of Multivariate Problems (2008, methodology): “16) is much easier, see [352] or Section 10.”
- Digital Nets and Sequences: Discrepancy Theory and Quasi-Monte Carlo Integration (2010, background): “This was shown in [247, 264] in a much more general setting.”
- Discrepancy Theory and Quasi-Monte Carlo Integration (2014, unknown): “It was shown in Sloan and Woźniakowski [107] and Woźniakowski [113] (in a much more general setting) that for ε ∈ (0, 1) we have N2(s, ε) ≥ (1− ε2) ( 9 8 )s .”