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Mansour Dana

Mansour Dana

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 14043156700
Faculty: Faculty of Science
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Phone:

Research

Title
Once again on the solution of systems of linear equations whose matrices are low-rank perturbations of Hermitian matrices.
Type
JournalPaper
Keywords
Minimal residual algorithm, generalized minimum residual method, (Normal matrices, generalized Krylov subspaces
Year
2007
Journal Journal of Mathematical Sciences
DOI
Researchers Mansour Dana ، Kh. D. Ikramov

Abstract

MINRES-N is a minimal residual algorithm, originally developed by the authors for solving systems of linear equations with normal coefficient matrices whose spectra lie on algebraic curves of low degree. In a previous publication, the authors showed that a variant of MINRES-N, called MINRES-N2, is applicable to nonnormal matrices A satisfying the condition rank (A − A∗) = 1. This fact is extended to nonnormal matrices A such that rank (A − A∗) = k, k ≥ 1.