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<item>
  <id>04160083</id>
  <dt>a</dt>
  <an>04160083</an>
  <augroup>
    <au>Bulavskij, Yu.V.</au>
  </augroup>
  <ti>The vector variant of the randomization method for the solution of systems of integral equations of the second kind.</ti>
  <so>Numerical methods of statistical modeling, Collect. Sci. Works, Novosibirsk, 31-35 (1987).</so>
  <py>1987</py>
  <pu></pu>
  <lagroup>
    <la>RU</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>vector variant</ut>
    <ut>randomization method</ut>
    <ut>systems of integral equations of the second kind</ut>
    <ut>Monte Carlo method</ut>
    <ut>random matrix</ut>
  </utgroup>
  <cigroup>
    <ci>Zbl 0691.00011</ci>
    <ci>Zbl 0594.65094</ci>
  </cigroup>
  <ligroup>
  </ligroup>
  <abgroup>
    <ab>[For the entire collection see Zbl 0691.00011.] The numerical method for the solution of systems of linear algebraic equations $Au=f$ with square non-singular matrix proposed by the author [Dokl. Akad. Nauk SSSR 283, 797-800 (1985; Zbl 0594.65094)] is based on the introduction of such a random matrix $\Xi$ of the same order that the columns of $\Xi$ are statistically independent and $M\Xi =A.$ In the present work, a generalization of the considered scheme is proposed to the case where not all the columns but only groups of columns of the random matrix $\Xi$ are statistically independent. A generalization to the case of a system of integral equations of the second kind is obtained.</ab>
    <rv></rv>
  </abgroup>
</item>