A Parallel Algebraic Multigrid Solver for the Finite Element Method based Source Localization in the Human Brain

Alfred Anwander; Michael Kuhn; Stefan Reitzinger; Carsten Wolters

doi:10.1007/s00791-002-0098-0

A Parallel Algebraic Multigrid Solver for the Finite Element Method based Source Localization in the Human Brain

Alfred Anwander
, Michael Kuhn
, Stefan Reitzinger
, Carsten Wolters

Institute of Numerical Mathematics

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	165 - 177
Number of pages	13
Journal	Computing and Visualization in Science
Volume	5
Issue number	3
DOIs	https://doi.org/10.1007/s00791-002-0098-0
Publication status	Published - Dec 2002

Fields of science

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

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10.1007/s00791-002-0098-0

Cite this

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title = "A Parallel Algebraic Multigrid Solver for the Finite Element Method based Source Localization in the Human Brain",

author = "Alfred Anwander and Michael Kuhn and Stefan Reitzinger and Carsten Wolters",

year = "2002",

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journal = "Computing and Visualization in Science",

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AU - Anwander, Alfred

AU - Kuhn, Michael

AU - Reitzinger, Stefan

AU - Wolters, Carsten

PY - 2002/12

Y1 - 2002/12

UR - https://www.scopus.com/pages/publications/4043058154

U2 - 10.1007/s00791-002-0098-0

DO - 10.1007/s00791-002-0098-0

M3 - Article

SN - 1433-0369

VL - 5

SP - 165

EP - 177

JO - Computing and Visualization in Science

JF - Computing and Visualization in Science

IS - 3

ER -

A Parallel Algebraic Multigrid Solver for the Finite Element Method based Source Localization in the Human Brain

Fields of science

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Robust Algebraic Multigrid Methods and their Parallelization

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A Parallel Algebraic Multigrid Solver for the Finite Element Method based Source Localization in the Human Brain

Fields of science

Access to Document

Other files and links

Projects

Robust Algebraic Multigrid Methods and their Parallelization

Cite this