1965
DOI: 10.1215/s0012-7094-65-03235-7
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Trigonometric interpolation

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Cited by 33 publications
(17 citation statements)
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“…For m odd, the estimate shows that the process is uniformly convergent for all f(x)CC2~. This fact was established in [1]. As for error estimates, the result of P. V6rtesi [2, Theorem 2.5] cannot even give O(n-" log n), while (3)…”
Section: []F(x)-r(f X)i] = O(n 2 E[/41(f)+n-mz~(k+a)m-lekoc)mentioning
confidence: 78%
See 2 more Smart Citations
“…For m odd, the estimate shows that the process is uniformly convergent for all f(x)CC2~. This fact was established in [1]. As for error estimates, the result of P. V6rtesi [2, Theorem 2.5] cannot even give O(n-" log n), while (3)…”
Section: []F(x)-r(f X)i] = O(n 2 E[/41(f)+n-mz~(k+a)m-lekoc)mentioning
confidence: 78%
“…The latter is equivalent to ahQf, h)=o(h) which, as PROOF. It follows from formulae (5) and (6) of [1] and the unique existence of R. …”
Section: []F(x)-r(f X)i] = O(n 2 E[/41(f)+n-mz~(k+a)m-lekoc)mentioning
confidence: 95%
See 1 more Smart Citation
“…Moreover, if ni < rj, then 5ni <= rj (cf. (5) By virtue of the estimate IIR~II < 5n (see [8, p. 246]) and (6,8,9) it follows at last that This implies (11), provided that both q > 0 is small and No (and thus rj) is large enough. To establish (12) one may proceed analogously.…”
Section: ]) One Hasmentioning
confidence: 91%
“…For sake of brevity sometimes we omit the double indices. We shall use the following estimations (see [2]):…”
Section: Ogre(f; T)~am(f)ogm(t )mentioning
confidence: 99%