Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization*

Brix, K., et al. Louvet, Violaine, and Massot, Marc, eds. "Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization*." ESAIM: Proceedings 34 (2011): 151-183. <http://eudml.org/doc/251262>.

@article{Brix2011,
abstract = {The concept of fully adaptive multiresolution finite volume schemes has been developed and investigated during the past decade. Here grid adaptation is realized by performing a multiscale decomposition of the discrete data at hand. By means of hard thresholding the resulting multiscale data are compressed. From the remaining data a locally refined grid is constructed. The aim of the present work is to give a self-contained overview on the construction of an appropriate multiresolution analysis using biorthogonal wavelets, its efficient realization by means of hash maps using global cell identifiers and the parallelization of the multiresolution-based grid adaptation via MPI using space-filling curves.},
author = {Brix, K., Melian, S., Müller, S., Bachmann, M.},
editor = {Louvet, Violaine, Massot, Marc},
journal = {ESAIM: Proceedings},
language = {eng},
month = {12},
pages = {151-183},
publisher = {EDP Sciences},
title = {Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization*},
url = {http://eudml.org/doc/251262},
volume = {34},
year = {2011},
}

TY - JOUR
AU - Brix, K.
AU - Melian, S.
AU - Müller, S.
AU - Bachmann, M.
AU - Louvet, Violaine
AU - Massot, Marc
TI - Adaptive Multiresolution Methods: Practical issues on Data Structures, Implementation and Parallelization*
JO - ESAIM: Proceedings
DA - 2011/12//
PB - EDP Sciences
VL - 34
SP - 151
EP - 183
AB - The concept of fully adaptive multiresolution finite volume schemes has been developed and investigated during the past decade. Here grid adaptation is realized by performing a multiscale decomposition of the discrete data at hand. By means of hard thresholding the resulting multiscale data are compressed. From the remaining data a locally refined grid is constructed. The aim of the present work is to give a self-contained overview on the construction of an appropriate multiresolution analysis using biorthogonal wavelets, its efficient realization by means of hash maps using global cell identifiers and the parallelization of the multiresolution-based grid adaptation via MPI using space-filling curves.
LA - eng
UR - http://eudml.org/doc/251262
ER -