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Can I read Quasi-Monte Carlo methods for the numerical integration of multivariate walsh series on EtoBox?
Quasi-Monte Carlo methods for the numerical integration of multivariate walsh series by G. Larcher; W.Ch. Schmid; R. Wolf is a Mathematics article available to read on EtoBox.
What is Quasi-Monte Carlo methods for the numerical integration of multivariate walsh series about?
## In [l], a method for the numerical integration of multivariate Walsh series, based on low-discrepancy point sets, was developed. In the present paper, we improve and generalize error estimates given in [l] and disprove a conjecture stated in [1,2]. Keywords-Numerical integration, Walsh series, Low-discrepancy point sets, Quasi-Monte Carlo methods. RN(f) := 1)' f(x) dx -$ N2 f(x,) n=O < K(s, a, c, b) . bt("-') . "";f~:-l, for all f E JZz (c) .
Who reads Quasi-Monte Carlo methods for the numerical integration of multivariate walsh series?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- G. Larcher; W.Ch. Schmid; R. Wolf
- Publisher
- Elsevier Science; Elsevier ; Pergamon Press Ltd.; Elsevier BV (ISSN 0895-7177)
- Published
- 1996
- Language
- EN
- Field
- Mathematics (Physical Sciences)