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
Link To Document :
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