Publication | Closed Access
Efficient Implementation of a Class of Preconditioned Conjugate Gradient Methods
315
Citations
12
References
1981
Year
Numerical AnalysisNumerical ComputationEngineeringPde-constrained OptimizationPreconditioned Conjugate GradientMatrix FactorizationEfficient ImplementationComputer EngineeringConvergence AnalysisDerivative-free OptimizationInverse ProblemsComputer ScienceMatrix MethodApproximation TheoryLow-rank ApproximationNumerical Method For Partial Differential EquationLinear Equations
The preconditioned conjugate gradient (PCG) method is an effective means for solving systems of linear equations where the coefficient matrix is symmetric and positive definite. The incomplete $LDL^t $ factorizations are a widely used class of preconditionings, including the SSOR, Dupont-Kendall-Rachford, generalized SSOR, ICCG(0), and MICCG(0) preconditionings. The efficient implementation of PCG with a preconditioning from this class is discussed.
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