Numerical determination of partial spectrum of Hermitian matrices using a Lanczos method with selective reorthogonalization

Chris Johnson, A. D. Kennedy

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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_5D) in lattice quantum chromodynamics, and compare it with previous methods.
Original languageEnglish
Pages (from-to)689–697
JournalComputer Physics Communications
Volume184
Issue number3
DOIs
Publication statusPublished - 6 Nov 2012

Fingerprint

Dive into the research topics of 'Numerical determination of partial spectrum of Hermitian matrices using a Lanczos method with selective reorthogonalization'. Together they form a unique fingerprint.

Cite this