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<item>
  <id>01320427</id>
  <dt>j</dt>
  <an>01320427</an>
  <augroup>
    <au>Bischof, Christian H.</au>
    <au>Quintana-Ort\'{\i}, Gregorio</au>
  </augroup>
  <ti>Algorithm 782: Codes for rank-revealing QR factorizations of dense matrices.</ti>
  <so>ACM Trans. Math. Softw. 24, No.2, 254-257 (1998).</so>
  <py>1998</py>
  <pu>Association for Computing Machinery, New York</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>numerical rank</ut>
    <ut>rank-revealing QR factorizations</ut>
    <ut>dense matrices</ut>
    <ut>block algorithm</ut>
    <ut>pivoting strategy</ut>
  </utgroup>
  <cigroup>
    <ci>Zbl 0932.65033</ci>
    <ci>Zbl 0142.11502</ci>
    <ci>Zbl 0796.65030</ci>
    <ci>Zbl 0826.65032</ci>
  </cigroup>
  <ligroup>
    <li>doi:10.1145/290200.287638</li>
  </ligroup>
  <abgroup>
    <ab>Summary: This article describes a suite of codes as well as associated testing and timing drivers for computing rank-revealing QR (RRQR) factorizations of dense matrices [cf. the authors paper, ibid. 24, No. 2, 226-253 (1998; reviewed above)]. The main contribution is an efficient block algorithm for approximating an RRQR factorization, employing a windowed version of the commonly used pivoting strategy proposed by {\it G. Golub} [Numer. Math. 7, 206-216 (1965; Zbl 0142.11502)] and improved versions of the RRQR algorithms for triangular matrices originally suggested by {\it S. Chandrasekaran} and {\it I. C. F. Ipsen} [SIAM J. Matrix Anal. Appl. 15, No. 2, 592-622 (1994; Zbl 0796.65030)] and by {\it C.-T. Pan} and {\it P. T. P. Tang} [SVD and signal processing III, 157-165 (1995; Zbl 0826.65032)], respectively. We highlight usage and features of these codes.</ab>
    <rv></rv>
  </abgroup>
</item>