2010
DOI: 10.1007/s10231-010-0174-x
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Pseudo Leja sequences

Abstract: We study pseudo Leja sequences attached to a compact set in the complex plane. The requirements are weaker than those of ordinary Leja sequences, but these sequences still provide excellent points for interpolation of analytic functions and their computation is much easier. We also apply them to the construction of excellent sets of nodes for multivariate interpolation of analytic functions on product sets.

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Cited by 37 publications
(60 citation statements)
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“…In the case that such points maximize the (absolute value of the) denominator of (4) in K N (Fekete points), then ℓ j ∞ ≤ 1 for every j, and thus the norm of the interpolation operator L S N : C(K) → S N is bounded by the dimension of the interpolation space,…”
Section: Some Definitions and Notationmentioning
confidence: 99%
See 1 more Smart Citation
“…In the case that such points maximize the (absolute value of the) denominator of (4) in K N (Fekete points), then ℓ j ∞ ≤ 1 for every j, and thus the norm of the interpolation operator L S N : C(K) → S N is bounded by the dimension of the interpolation space,…”
Section: Some Definitions and Notationmentioning
confidence: 99%
“…For an overview about theoretical and computational aspects of Leja points we may quote, e.g., [1,4,5,17,23,28,31] and references therein.…”
Section: Leja Pointsmentioning
confidence: 99%
“…In the complex case, we mention only that it is easy to construct an admissible mesh with O(n) points for any compact set K ⊂ C 1 satisfying a Markov inequality of exponent 1, and boundary given by a C 1 parametric curve, cf. [1,Prop.17].…”
Section: Remark 4 (Higher-dimensional Extensions)mentioning
confidence: 99%
“…First, we recall that every convex compact set of R 2 with nonempty interior admits the Markov inequality max x∈K ∇p(x) 2 …”
Section: Weakly Admissible Meshes (Wams)mentioning
confidence: 99%
“…In the univariate case with the standard monomial basis, it is not difficult to recognize that the selected points are indeed the Leja points extracted from the mesh (cf. [2,13] and references therein). On the contrary, dependence on the ordering of the basis does not occur with the first algorithm, which is based on the notion of volume generated by the rows of a rectangular matrix (the two notions being eventually equivalent on the final square submatrix).…”
Section: Fekete Points and Discrete Extremal Setsmentioning
confidence: 99%