• 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