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<item>
  <id>01643704</id>
  <dt>j</dt>
  <an>01643704</an>
  <augroup>
    <au>Gelb, Anne</au>
  </augroup>
  <ti>A hybrid approach to spectral reconstruction of piecewise smooth functions.</ti>
  <so>J. Sci. Comput. 15, No.3, 293-322 (2000).</so>
  <py>2000</py>
  <pu>Springer, Dordrecht</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>Gibbs phenomenon</ut>
    <ut>spectral reconstruction</ut>
    <ut>piecewise smooth function</ut>
    <ut>Gegenbauer polynomial</ut>
    <ut>Gegenbauer reconstruction method</ut>
    <ut>edge detection</ut>
    <ut>numerical examples</ut>
    <ut>exponential fitting method</ut>
  </utgroup>
  <cigroup>
    <ci>Zbl 0781.42022</ci>
  </cigroup>
  <ligroup>
    <li>doi:10.1023/A:1011126400782</li>
  </ligroup>
  <abgroup>
    <ab>The Gibbs phenomenon is an essential drawback in spectral reconstruction of a piecewise smooth function $f$. In this paper, a new approach to the Gegenbauer reconstruction method [see {\it D. Gottlieb}, {\it C.-W. Shu}, {\it A. Solomonoff} and {\it H. Vandeven}, J. Comput. Appl. Math. 43, No. 1-2, 81-98 (1992; Zbl 0781.42022)] is presented. The new method is less computationally intensive. The author combines the exponential fitting method in smooth regions away from the discontinuities of $f$ with the Gegenbauer reconstruction method in regions close to the discontinuities of $f$. Further, a new way of computing the Gegenbauer coefficients from Jacobian polynomial expansion is proposed. Several numerical applications with univariate and bivariate functions are presented.</ab>
    <rv>Manfred Tasche (Rostock)</rv>
  </abgroup>
</item>