@Article{IJNAM-5-167,
author = {F. J. Hickernell and J. Dick},
title = {An Algorithm-Driven Approach to Error Analysis for Multidimensional Integration},
journal = {International Journal of Numerical Analysis and Modeling},
year = {2008},
volume = {5},
number = {2},
pages = {167--189},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {2617-8710},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnam/805.html}
}