1994
DOI: 10.1006/jmaa.1994.1311
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On Condition Numbers Associated with Radial-Function Interpolation

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Cited by 50 publications
(23 citation statements)
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“…Let λ > 0 be fixed. Suppose that (x j : j ∈ Z) is a real sequence satisfying (8) and (9) for some positive numbers q and Q. Let A = A λ be the bi-infinite matrix whose entries are given by A( j, k) = e −λ(x j −x k ) 2 , j, k ∈ Z.…”
Section: Further Results On Univariate Gaussian Interpolationmentioning
confidence: 99%
See 1 more Smart Citation
“…Let λ > 0 be fixed. Suppose that (x j : j ∈ Z) is a real sequence satisfying (8) and (9) for some positive numbers q and Q. Let A = A λ be the bi-infinite matrix whose entries are given by A( j, k) = e −λ(x j −x k ) 2 , j, k ∈ Z.…”
Section: Further Results On Univariate Gaussian Interpolationmentioning
confidence: 99%
“…In particular we do not assume in Theorem 6.7(iii) that (x j : j ∈ Z) is a Riesz-basis sequence. However, it is not without interest to note that the main convergence theorems obtained in Section 4 do not hold for data sites which merely satisfy the quasi-uniformity conditions (8) and (9). For example, let X := Z \ {0}, and let f be the bandlimited function given by f (x) := sin(π x)/(π x), x ∈ R. As f (x j ) = 0 for every x j ∈ X , I λ ( f ) is identically zero, so it is manifest that I λ ( f ) does not converge to f .…”
mentioning
confidence: 94%
“…To make the statement clearer, we give some more additional assumptions on the Mercer kernel K(x, y) dened by (2).…”
Section: General Estimatesmentioning
confidence: 99%
“…Let t ⊂ X be discrete nite sets satisfying Assumption 4, K t (x) be a Mercer kernel dened by (2) and satisfying Assumptions 12 and X K t (x) dμ(x) = 1. K t (φ, x) dened by (11) satises Assumption 3.…”
Section: Lemma 24 If Assumptions 12 Hold Thenmentioning
confidence: 99%
“…To this end we use a simplified version of results for the classical interpolation problem (see for example [12,13,15,17]). We will show that there is a trade-off principle concerning convergence and stability, which is much worse than the one known from classical interpolation [17].…”
Section: Introductionmentioning
confidence: 99%