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Preconditioning is essential for accelerating the convergence of iterative solvers for large and sparse linear systems. In this talk we will describe a few practical and broadly used preconditioning techniques, including Incomplete factorizations, multigrid, sparse approximate inverse techniques, and block preconditioners for saddle-point systems.
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