Title of article
Comparison theorems for the convergence factor of iterative methods for singular matrices Original Research Article
Author/Authors
Ivo Marek، نويسنده , , Daniel B. Szyld، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2000
Pages
21
From page
67
To page
87
Abstract
Iterative methods for the solution of consistent singular systems of linear equations are governed by the convergence factor of the iteration matrix T, i.e., by the quantity γ(T)=max{λ,λset membership, variantσ(T),λ≠1}, where σ(T) is the spectrum of T. Theorems are presented comparing the convergence factor of two iterative methods. The comparison is based on the relationship between the matrices of the splittings. A cone other than the usual nonnegative hyperoctant is used to define the order used in this comparison. Although this cone is based on the (unknown) projection onto the null-space of a matrix, the characterization provided in the paper allows, in specific instances, the cone to be readily computable.
Keywords
Linear systems , Iterative methods , Comparison theorems , Markov chains , Stochastic matrices , Convergence factor , Markov processes
Journal title
Linear Algebra and its Applications
Serial Year
2000
Journal title
Linear Algebra and its Applications
Record number
823058
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