On efficient weighted integration via a change of variables

P. Kritzer, F. Pillichshammer, L. Plaskota, G. W. Wasilkowski

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, we study the approximation of d-dimensional ϱ-weighted integrals over unbounded domains R+d or Rd using a special change of variables, so that quasi-Monte Carlo (QMC) or sparse grid rules can be applied to the transformed integrands over the unit cube. We consider a class of integrands with bounded Lp norm of mixed partial derivatives of first order, where p∈ [1 , + ∞]. The main results give sufficient conditions on the change of variables ν which guarantee that the transformed integrand belongs to the standard Sobolev space of functions over the unit cube with mixed smoothness of order one. These conditions depend on ϱ and p. The proposed change of variables is in general different than the standard change based on the inverse of the cumulative distribution function. We stress that the standard change of variables leads to integrands over a cube; however, those integrands have singularities which make the application of QMC and sparse grids ineffective. Our conclusions are supported by numerical experiments.

Original languageEnglish
Pages (from-to)545-570
Number of pages26
JournalNumerische Mathematik
Volume146
Issue number3
DOIs
StatePublished - Nov 1 2020

Bibliographical note

Funding Information:
P. Kritzer is supported by the Austrian Science Fund (FWF): Project F5506-N26, which is a part of the Special Research Program “Quasi-Monte Carlo Methods: Theory and Applications”. F. Pillichshammer is supported by the Austrian Science Fund (FWF): Project F5509-N26, which is a part of the Special Research Program “Quasi-Monte Carlo Methods: Theory and Application”. L. Plaskota is supported by the National Science Centre, Poland, under Grant 2017/25/B/ST1/00945.

Publisher Copyright:
© 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'On efficient weighted integration via a change of variables'. Together they form a unique fingerprint.

Cite this