Speeding up DSI with an algebraic multigrid method
Thomas Jerome and Mary Ford. ( 2001 )
in: $21^st$ Gocad Meeting Proceedings
Abstract
The current speed of convergence of DSI is directly linked to the ratio between the
number of constraints and the number of nodes of the interpolated object. If this ratio is
high, the best approximate solution is quickly reached. If it is low, DSI converges slowly. To
speed up the convergence, the resolution of the local equation of DSI is modi¯ed by adding
an algebraic multigrid method. This method, applicable to any Gocad object (atomic or
gridded), is extremely fast as it has the advantage to speed up the DSI convergence: The
number of iterations is then no longer dependent on the mesh size.
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BibTeX Reference
@inproceedings{Jerome2001a, abstract = { The current speed of convergence of DSI is directly linked to the ratio between the number of constraints and the number of nodes of the interpolated object. If this ratio is high, the best approximate solution is quickly reached. If it is low, DSI converges slowly. To speed up the convergence, the resolution of the local equation of DSI is modi¯ed by adding an algebraic multigrid method. This method, applicable to any Gocad object (atomic or gridded), is extremely fast as it has the advantage to speed up the DSI convergence: The number of iterations is then no longer dependent on the mesh size. }, author = { Jerome, Thomas AND Ford, Mary }, booktitle = { $21^st$ Gocad Meeting Proceedings }, title = { Speeding up DSI with an algebraic multigrid method }, year = { 2001 } }