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<item>
  <id>06028205</id>
  <dt>j</dt>
  <an>06028205</an>
  <augroup>
    <au>Xue, Jungong</au>
    <au>Xu, Shufang</au>
    <au>Li, Ren-Cang</au>
  </augroup>
  <ti>Accurate solutions of $M$-matrix Sylvester equations.</ti>
  <so>Numer. Math. 120, No. 4, 639-670 (2012).</so>
  <py>2012</py>
  <pu>Springer-Verlag, Berlin</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>$M$-matrix Sylvester equation</ut>
    <ut>relative perturbation theory</ut>
    <ut>numerical examples</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/s00211-011-0420-1</li>
  </ligroup>
  <abgroup>
    <ab>The authors present a relative perturbation theory for an $M$-matrix Sylvester equation (MSE). Specifically, the MSE is meant by the matrix equation $AX + XB = C$ where $A$ and $B$ have positive diagonal entries and nonpositive off-diagonal entries; $P = I_m \otimes A + B^T \otimes I_n$ is a nonsingular $M$-matrix; and $C$ is entry-wise nonnegative. By the authors, it has been proved that the small relative perturbations to the entries of $A$, $B$, and $C$ introduce small relative errors to the entries of $X$. This is unlike the existing perturbation theory on a (general) Sylvester equation. The authors propose some important modifications to the existing numerical methods for the computation of $X$. Numerical examples are given to verify their claims as well. Reviewer's remark: A matrix can be considered as an linear ``operator", and the main concern of this paper is the relative perturbation analysis related to the matrix equations.</ab>
    <rv>Jong Hyuk Park (Ulsan)</rv>
  </abgroup>
</item>