Mathematics of Computation · 2007 · 37 citations · 17 references
ComputingComputer ScienceComputational PhysicsConvergence AnalysisMatrix ComputationNumerical AlgorithmsNumerical AnalysisNumerical Linear AlgebraNumerical Methods For Differential EquationsConvergenceConvergence For Singular SolutionsConvergence Rate Analysis
This paper is devoted to the convergence rate estimate for the method of <italic>successive</italic> subspace corrections applied to symmetric and positive semidefinite ( <italic>singular</italic> ) problems. In a general Hilbert space setting, a convergence rate identity is obtained for the method of subspace corrections in terms of the subspace solvers. As an illustration, the new abstract theory is used to show uniform convergence of a multigrid method applied to the solution of the Laplace equation with pure Neumann boundary conditions.
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Iterative Methods by Space Decomposition and Subspace Correction
Jinchao Xu · SIAM Review · 1992 · 1.1K citations