## 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,
On the numerical integration of high-dimensional Walsh-series by Quasi-Monte Carlo methods
β Scribed by G. Larcher; W.Ch. Schmid
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 352 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0378-4754
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β¦ Synopsis
Functions which can be represented by rapidly converging Walsh-series play an important role in the theory of signal-processing and image-processing. A special Quasi-Monte Carlo method for the numerical integration of such functions in high dimensions is developed in the present paper. The method is based on the theory of (t, m, s)-nets developed by Niederreiter in the context of irregularities of distribution. Concrete numerical experiments will show the high practical quality of the method.
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Two two-step sixth-order methods with phase-lag of order eight and ten are developed for the numerical integration of the special second-order initial value problem. One of these methods is P-stable and the other has an interval of periodicity larger than the Numerov method. An application to the on