Communications in Computational Physics · 2019 · 13 citations · 15 references
ComputingComputational EngineeringComputational MechanicsFinite Element AnalysisFinite Element MethodsConvergence AnalysisEigenvalue ProblemsError EstimationFinite Element DiscretizationFinite Element FormulationGrid AdaptationAdaptive Eigenvalue AlgorithmsConvergenceEigenvalue AlgorithmsEigenvalue ComputationError Estimation For Eigenvalue ProblemsInverse Eigenvalue ProblemsMultigrid ConvergenceOptimal Convergence Rates
A shifted-inverse iteration is proposed for the finite element discretization of the elastic eigenvalue problem. The method integrates the multigrid scheme and adaptive algorithm to achieve high efficiency and accuracy. Error estimates and optimal convergence for the proposed method are proved. Numerical examples show that the proposed method inherits the advantages of both ingredients and can compute low regularity eigenfunctions effectively.
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Finite element approximation of eigenvalue problems
Daniele Boffi · Acta Numerica · 2010 · 483 citations