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Multigrid

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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.