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- W2037502605 abstract "Large-scale eigenvalue problems arise in a number of DOE applications. This paper provides an overview of the recent development of eigenvalue computation in the context of two SciDAC applications. We emphasize the importance of Krylov subspace methods, and point out its limitations. We discuss the value of alternative approaches that are more amenable to the use of preconditioners, and report the progress on using the multi-level algebraic sub-structuring techniques to speed up eigenvalue calculation. In addition to methods for linear eigenvalue problems, we also examine new approaches to solving two types of non-linear eigenvalue problems arising from SciDAC applications." @default.
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- W2037502605 date "2005-01-01" @default.
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- W2037502605 title "Solving large-scale eigenvalue problems in SciDAC applications" @default.
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- W2037502605 doi "https://doi.org/10.1088/1742-6596/16/1/058" @default.
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