Multigrid
The multigrid methods is a group of algorithms for solving differential equations using a hierarchy of discretization. It has the advantage over other methods that it scales linearly with the number of discrete nodes used.
See also
The key idea is the following: Assuming you have a differential equation which can be solved
approximately (with a given accuracy) on a grid with a given grid point density .
Assuming furthermore that this solution may be obtained from the solution on a sparser grid
with a given grid point density (typically ) with
an effort that is proportional to , i.e. . Assuming furthermore
that this holds true for any given grid with density
and corresponding sparser grid (i.e. is approximately constant
overall grids). Then the total effort spent obtaining a solution on the finest grid is (see Geometric_series)
i.e. a solution may be obtained in time.
References and External links
- Brandt, A. 'Multi-Level Adaptive Solutions to Boudary-Value Problems', Math. Comp, 1977(31), 333-390 (jstor link).
- MGNet: a repository for multigrid and other methods
- M. Holst and F. Saied, Multigrid and domain decomposition methods for electrostatics problems. Domain Decomposition Methods in Science and Engineering (Proceedings of the Seventh International Conference on Domain Decomposition Methods, October 27-30, 1993, The Pennsylvania State University) D. E. Keyes and J. Xu, eds., American Mathematical Society, Providence, 1995.
- A multigrid tutorial, ISBN 0-89871-462-1
- Introduction to Algebraic Multigrid