1993
DOI: 10.1007/bf02108464
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On computing best Chebyshev complex rational approximants

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1995
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Cited by 7 publications
(12 citation statements)
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“…Nevertheless, the approximations in such cases often converge quickly, and we have observed that they converge much faster still if (3. As has been mentioned, Ellacott--Williams (EW) and Istace--Thiran (IT) algorithms for complex rational minimax approximation have been published previously by Ellacott and Williams [22] and Istace and Thiran [40], building on earlier work by Osborne and Watson [60]. In this section, we comment on the relationship of these to the AAA-Lawson algorithm.…”
Section: Numerical Examples Realmentioning
confidence: 91%
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“…Nevertheless, the approximations in such cases often converge quickly, and we have observed that they converge much faster still if (3. As has been mentioned, Ellacott--Williams (EW) and Istace--Thiran (IT) algorithms for complex rational minimax approximation have been published previously by Ellacott and Williams [22] and Istace and Thiran [40], building on earlier work by Osborne and Watson [60]. In this section, we comment on the relationship of these to the AAA-Lawson algorithm.…”
Section: Numerical Examples Realmentioning
confidence: 91%
“…For complex functions or domains, however, the situation is very different. The theory developed by Walsh in the 1930s shows that existence and especially uniqueness may fail [86,87], and as for algorithms, there is not much available apart from a pair of methods introduced by Ellacott and Williams (EW) (1976) and Istace and Thiran (IT) (1993) based on earlier work by Osborne and Watson [60], which, as far as we are aware, are not in use today [22,40] (see section 7). This is a striking gap, since rational approximations are of growing importance in computational complex analysis (Figure 4.3) [29,83], systems theory and model order reduction (Figure 4.6) [2,3,7,12], low-rank data compression (Figures 4.6 and 4.7) [6,46], electronic structure calculation (Figure 5.2) [48,53], and solution of partial differential equations (Figure 5.4) [15,20,30,31].…”
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confidence: 99%
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“…For that purpose, we make use of the algorithm presented in [10] (see [20] for a more complete description) in the case of E = −F . As this symmetry property no longer holds for the sets defined in Table 1, the number of parameters is more than doubled in the problem under investigation.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…It should be noted also that values of some analytic functions can be effectively computed by Faber rational approximants of Padé and Carathé odory-Fejé r type (see, e.g., Ellacott and Gutknecht, 1983;Istace and Thiran, 1993). Besides the Faber polynomials have some interesting applications in numerical linear algebra (e.g., Eiermann and Starke, 1990;Farkova, 1992;Starke and Varga, 1993).…”
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confidence: 98%