%0 Generic %1 Wolters_abstractalgebraic %A Wolters, C. H. %A Anw, A. %A Reitzinger, S. %A Haase, G. %D 2004 %K 65f10-iterative-methods-for-linear-systems 65n22-pdes-bvps-solution-of-discretized-equations 65n55-pdes-bvps-multigrid-methods-domain-decomposition 78m10-optics-electromagnetism-finite-element-method %T Algebraic MultiGrid with Multiple Right-Hand Side Treatment for an Efficient Computation of EEG and MEG Lead Field Bases %U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.3337 %X Iterative solver techniques are used for the computation of EEG and MEG lead field bases for finite element method based volume conductor mode ling. Within this paper, we will discuss a new efficient strategy, the algebraic multigrid preconditioned conjugate gradient method with simultaneous treatment of multiple right-hand sides. We will show that this solver leads to a much higher cache hit rate, which speeds the computation by more than a factor of 2. Together with the concept of the EEG and MEG lead field bases, the complexity of realistic high resolution anisotropic finite element forward modeling within the EEG/MEG inverse problem is significantly reduced and can now be performed in approximately the same time as boundary element head modeling.

@misc{Wolters_abstractalgebraic, abstract = {Iterative solver techniques are used for the computation of EEG and MEG lead field bases for finite element method based volume conductor mode ling. Within this paper, we will discuss a new efficient strategy, the algebraic multigrid preconditioned conjugate gradient method with simultaneous treatment of multiple right-hand sides. We will show that this solver leads to a much higher cache hit rate, which speeds the computation by more than a factor of 2. Together with the concept of the EEG and MEG lead field bases, the complexity of realistic high resolution anisotropic finite element forward modeling within the EEG/MEG inverse problem is significantly reduced and can now be performed in approximately the same time as boundary element head modeling.}, added-at = {2019-07-03T02:50:51.000+0200}, author = {Wolters, C. H. and Anw, A. and Reitzinger, S. and Haase, G.}, biburl = {https://www.bibsonomy.org/bibtex/24a50e17652b4369b7efc127d687d28b3/gdmcbain}, interhash = {bb65946ec996d527fed8bfc4fc060130}, intrahash = {4a50e17652b4369b7efc127d687d28b3}, keywords = {65f10-iterative-methods-for-linear-systems 65n22-pdes-bvps-solution-of-discretized-equations 65n55-pdes-bvps-multigrid-methods-domain-decomposition 78m10-optics-electromagnetism-finite-element-method}, timestamp = {2019-07-03T02:51:40.000+0200}, title = {Algebraic MultiGrid with Multiple Right-Hand Side Treatment for an Efficient Computation of EEG and MEG Lead Field Bases}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.3337}, year = 2004 }