An Algorithm-Driven Approach to Error Analysis for Multidimensional Integration

An Algorithm-Driven Approach to Error Analysis for Multidimensional Integration

Year:    2008

International Journal of Numerical Analysis and Modeling, Vol. 5 (2008), Iss. 2 : pp. 167–189

Abstract

Most error analyses for numerical integration algorithms specify the space of integrands and then determine the convergence rate for a particular algorithm or the optimal algorithm. This article takes a different perspective of specifying the convergence rate and then finding the largest space of integrands for which the algorithm gives that desired rate. Both worst-case and randomized error analyses are provided.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2008-IJNAM-805

International Journal of Numerical Analysis and Modeling, Vol. 5 (2008), Iss. 2 : pp. 167–189

Published online:    2008-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    23

Keywords:    digital nets integration lattices randomized worst-case.