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Mansour Dana

Mansour Dana

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

Title
A numerical comparison of two minimal residual methods for linear polynomials in unitary matrices
Type
JournalPaper
Keywords
Krylov subspace methods, minimal residual methods, normal matrices, unitary matrices
Year
2006
Journal Computational Mathematics and Mathematical Physics
DOI
Researchers Mansour Dana ، Kh. D. Ikramov

Abstract

Two minimal residual methods for solving linear systems of the form $(\alpha U+\beta I)x=b$ where $U$ is a unitary matrix, are compared numerically. The first method uses conventional Krylov subspaces, while the second involves generalized Krylov subspaces. Experiments favor the second method if $|\alpha|>|\beta|$. Moreover, the greater the ratio $|\alpha|/|\beta|$, the higher the superiority of the second method.