The rate of convergence of iterations of implicit incomplete factorization methods (Q1309051)

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scientific article; zbMATH DE number 468690
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The rate of convergence of iterations of implicit incomplete factorization methods
scientific article; zbMATH DE number 468690

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    The rate of convergence of iterations of implicit incomplete factorization methods (English)
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    3 February 1994
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    Implicit incomplete factorization methods for solving five-point mesh equations, which arise in finite difference and finite element approximations of two-dimensional boundary value problems, are considered. For the final linear system \(Au= f\) it is assumed that \(A\) represents a specially structured \(M\)-matrix and for its solution a conjugate gradient method with a skillfully selected preconditioning matrix is proposed. This method can be considered as a generalization of the block symmetric successive overrelaxation method (BSSOR). Under the assumption that \(A\) is a symmetric positive definite \(M\)-matrix (Stieltjes matrix) the convergence rate is estimated. The estimation for a fixed relaxation parameter is (for a model problem) worse than the result for the optimal BSSOR. Two numerical examples show the efficiency of the method in comparison with the optimal BSSOR.
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    implicit incomplete factorization methods
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    Stieltjes matrix
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    finite difference
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    finite element
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    \(M\)-matrix
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    conjugate gradient method
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    preconditioning
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    block symmetric successive overrelaxation method
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    convergence
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    relaxation parameter
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    numerical examples
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