摘要

We introduce a new algorithm for finding the eigenvalues and eigenvectors of Hermitian matrices Within a specified region, based upon the LANSO algorithm of Parlett and Scott. It uses selective reorthogonalization to avoid the duplication of eigenpairs in finite-precision arithmetic, but uses a new bound to decide when such reorthogonalization is required, and only reorthogonalizes with respect to eigenpairs within the region of interest. We investigate its performance for the Hermitian Wilson-Dirac operator gamma D-5 in lattice quantum chromodynamics, and compare it with previous methods.

  • 出版日期2013-3

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