
doi: 10.1002/nla.1889
SUMMARYA framework is proposed for constructing algebraic multigrid transfer operators suitable for nonsymmetric positive definite linear systems. This framework follows a Schur complement perspective as this is suitable for both symmetric and nonsymmetric systems. In particular, a connection between algebraic multigrid and approximate block factorizations is explored. This connection demonstrates that the convergence rate of a two‐level model multigrid iteration is completely governed by how well the coarse discretization approximates a Schur complement operator. The new grid transfer algorithm is then based on computing a Schur complement but restricting the solution space of the corresponding grid transfers in a Galerkin‐style so that a far less expensive approximation is obtained. The final algorithm corresponds to a Richardson‐type iteration that is used to improve a simple initial prolongator or a simple initial restrictor. Numerical results are presented illustrating the performance of the resulting algebraic multigrid method on highly nonsymmetric systems. Copyright © 2013 John Wiley & Sons, Ltd.
Iterative numerical methods for linear systems, Multigrid methods; domain decomposition for boundary value problems involving PDEs, algorithm, convergence, algebraic multigrid, nonsymmetric problems, numerical results, Galerkin projection, Ingenieurwissenschaften, algebraic multigrid; Schur complement; Galerkin projection; nonsymmetric problems, Richardson-type iteration, Schur complement, ddc: ddc:620
Iterative numerical methods for linear systems, Multigrid methods; domain decomposition for boundary value problems involving PDEs, algorithm, convergence, algebraic multigrid, nonsymmetric problems, numerical results, Galerkin projection, Ingenieurwissenschaften, algebraic multigrid; Schur complement; Galerkin projection; nonsymmetric problems, Richardson-type iteration, Schur complement, ddc: ddc:620
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