Deflated Restarting for Matrix Functions

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Deflated Restarting for Matrix Functions

We investigate an acceleration technique for restarted Krylov subspace methods for computing the action of a function of a large sparse matrix on a vector. Its effect is to ultimately deflate a specific invariant subspace of the matrix which most impedes the convergence of the restarted approximation process. An approximation to the subspace to be deflated is successively refined in the course ...

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ژورنال

عنوان ژورنال: SIAM Journal on Matrix Analysis and Applications

سال: 2011

ISSN: 0895-4798,1095-7162

DOI: 10.1137/090774665