New convergence estimates for multigrid algorithms

Authors:
James H. Bramble and Joseph E. Pasciak

Journal:
Math. Comp. **49** (1987), 311-329

MSC:
Primary 65Nxx; Secondary 65F10

DOI:
https://doi.org/10.1090/S0025-5718-1987-0906174-X

MathSciNet review:
906174

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Abstract: In this paper, new convergence estimates are proved for both symmetric and nonsymmetric multigrid algorithms applied to symmetric positive definite problems. Our theory relates the convergence of multigrid algorithms to a "regularity and approximation" parameter and the number of relaxations *m*. We show that for the symmetric and nonsymmetric cycles, the multigrid iteration converges for any positive *m* at a rate which deteriorates no worse than , where *j* is the number of grid levels. We then define a generalized cycle algorithm which involves exponentially increasing (for example, doubling) the number of smoothings on successively coarser grids. We show that the resulting symmetric and nonsymmetric multigrid iterations converge for any with rates that are independent of the mesh size. The theory is presented in an abstract setting which can be applied to finite element multigrid and finite difference multigrid methods.

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DOI:
https://doi.org/10.1090/S0025-5718-1987-0906174-X

Article copyright:
© Copyright 1987
American Mathematical Society