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- W972853512 abstract "Multigrid algorithms and conjugate gradient methods with appropriate preconditioning are both efficient tools for the solution of equations which arise from the discretization of partial differential equations. Sometimes it is favourable to combine both methods. We will discuss two typical examples which elucidate different reasons for the combination of both methods. I. When solving elasticity problems with multigrid methods, conjugate gradients are useful for avoiding the locking effect. 2. When the biharmonic equation or plate bending problems are treated by using conjugate gradients, the fast Poisson solvers provide good preconditioners. The analysis of both problems leads to different mathematical problems." @default.
- W972853512 created "2016-06-24" @default.
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- W972853512 date "1986-01-01" @default.
- W972853512 modified "2023-10-04" @default.
- W972853512 title "On the combination of the multigrid method and conjugate gradients" @default.
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- W972853512 doi "https://doi.org/10.1007/bfb0072641" @default.
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