Federico Poloni

  1. A Perron iteration for the solution of a quadratic vector equation arising in Markovian Binary Trees.

    Authors: Federico Poloni, Beatrice Meini
    Subjects: Numerical Analysis
    Abstract

    We propose a novel numerical method for solving a quadratic vector equation
    arising in Markovian Binary Trees. The numerical method consists in a fixed
    point iteration, expressed by means of the Perron vectors of a sequence of
    nonnegative matrices. A theoretical convergence analysis is performed. The
    proposed method outperforms the existing methods for close-to-critical
    problems.

  2. Quadratic Vector Equations.

    Authors: Federico Poloni
    Subjects: Numerical Analysis
    Abstract

    We study in an unified fashion several quadratic vector and matrix equations
    with nonnegativity hypotheses. Specific cases of such problems (QBD equations,
    nonsymmetric algebraic Riccati equations, Lu's simple equation, Markovian
    binary trees equations) have been studied extensively in the past by several
    authors. Many of the results appearing here have already been proved for one or
    more of the single instances of the problems, resorting to specific
    characteristics of the problem.

  3. A note on the O(n)-storage implementation of the GKO algorithm.

    Authors: Federico Poloni
    Subjects: Numerical Analysis
    Abstract

    We propose a new O(n)-space implementation of the GKO-Cauchy algorithm for
    the solution of linear systems with Cauchy-like matrix. Despite its slightly
    higher computational cost, this new algorithm makes a more efficient use of the
    processor cache memory. Thus, for matrices of size larger than about 500-1000,
    it outperforms the existing algorithms.

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