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NUMERICAL METHODS FOR LARGE EIGENVALUE PROBLEMS

NUMERICAL METHODS FOR LARGE EIGENVALUE PROBLEMS

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and two decades ago is that at the same time the basic tools used to compute spec-tra have essentially not changed much: Krylov subspaces are still omnipresent. On the whole, the new methods that have been developed consist of enhance-ments to these basic methods, sometimes major, in the form of preconditioners, or other variations.

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