Acta Numerica · 2005 · 2.3K citations · 374 references
Natural SciencesComputational EngineeringComputational MechanicsComputational PhysicsOptimizationIterative SolversMatrix ComputationNumerical AlgorithmsNumerical AnalysisNumerical Linear AlgebraNumerical Methods For Differential EquationsIterative Methods For Linear SystemsLinear System SolversLinear Type SystemsSaddle Point ProblemsSparse Linear AlgebraSparse Matrix Algorithms
Large linear systems of saddle point type arise in a wide variety of applications throughout computational science and engineering. Due to their indefiniteness and often poor spectral properties, such linear systems represent a significant challenge for solver developers. In recent years there has been a surge of interest in saddle point problems, and numerous solution techniques have been proposed for this type of system. The aim of this paper is to present and discuss a large selection of solution methods for linear systems in saddle point form, with an emphasis on iterative methods for large and sparse problems.
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