Influence of head tissue conductivity anisotropy on human EEG and MEG using fast high resolution finite element modeling, based on a parallel algebraic multigrid solver

Alfred Anwander; Martin Koch; Michael Kuhn; Stefan Reitzinger; Markus Svensen; Carsten Wolters

Influence of head tissue conductivity anisotropy on human EEG and MEG using fast high resolution finite element modeling, based on a parallel algebraic multigrid solver

Alfred Anwander
, Martin Koch
, Michael Kuhn
, Stefan Reitzinger
, Markus Svensen
, Carsten Wolters

Institute of Numerical Mathematics

Research output: Other contribution

Original language	English
Number of pages	54
Publication status	Published - 2002

Fields of science

101 Mathematics
101014 Numerical mathematics
101016 Optimisation
101020 Technical mathematics
102009 Computer simulation
102022 Software development
102023 Supercomputing

Robust Algebraic Multigrid Methods and their Parallelization
Pechstein, C. (Researcher), Pohoata, A. (Researcher), Reitzinger, S. (Researcher), Wabro, M. (Researcher), Yang, H. (Researcher) & Langer, U. (PI)
01.10.2001 → 30.09.2004
Project: Funded research › FWF - Austrian Science Fund

Cite this

@misc{ec4225e64cc44dd1b2e59d4bc1bc0c0b,

title = "Influence of head tissue conductivity anisotropy on human EEG and MEG using fast high resolution finite element modeling, based on a parallel algebraic multigrid solver",

author = "Alfred Anwander and Martin Koch and Michael Kuhn and Stefan Reitzinger and Markus Svensen and Carsten Wolters",

year = "2002",

language = "English",

type = "Other",

}

Influence of head tissue conductivity anisotropy on human EEG and MEG using fast high resolution finite element modeling, based on a parallel algebraic multigrid solver

Fields of science

Projects

Robust Algebraic Multigrid Methods and their Parallelization

Cite this