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Published in 2017 at "Foundations of Computational Mathematics"
DOI: 10.1007/s10208-015-9297-1
Abstract: Preconditioned iterative methods for numerical solution of large matrix eigenvalue problems are increasingly gaining importance in various application areas, ranging from material sciences to data mining. Some of them, e.g., those using multilevel preconditioning for…
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Keywords:
theory;
preconditioned eigenvalue;
convergence theory;
eigenvalue problems ... See more keywords