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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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Research

Title
A minimal residual method for linear polynomials in unitary matrices
Type
JournalPaper
Keywords
linear polynomials in unitary matrices, minimal residual method, modification of the MINRES-N2 algorithm
Year
2006
Journal Computational Mathematics and Mathematical Physics
DOI
Researchers Mansour Dana ، Kh. D. Ikramov

Abstract

A minimal residual method, called MINRES-N2, that is based on the use of unconventional Krylov subspaces was previously proposed by the authors for solving a system of linear equations Ax = b with a normal coefficient matrix whose spectrum belongs to an algebraic second-degree curve Γ . However, the computational scheme of this method does not cover matrices of the form A=αU+βI, where U is an arbitrary unitary matrix; for such matrices, Γ is a circle. Systems of this type are repeatedly solved when the eigenvectors of a unitary matrix are calculated by inverse iteration. In this paper, a modification of MINRES-N2 suitable for linear polynomials in unitary matrices is proposed. Numerical results are presented demonstrating the significant superiority of the modified method over GMRES as applied to systems of this class.